Archive for November, 2002

Welcome

Sunday, November 17th, 2002

This is the third Chapter from the online book: Living Ethics: The Way of Wholeness. See: 1) How Should We Live? 2) Ethics and Civilization


Worldview and Ethics

Donivan Bessinger, MD

We have said above that civilization is contingent on a common awareness of existence and reality. Our idea of a natural ethic requires an awareness of existence of self and “other”, a dialogue between two minds. Such awareness is not possible if the two minds exist in different dimensions or “worlds”. In such a circumstance, the natural ethic could not come into effect until an encounter took place. The natural ethic requires being brought into a shared consciousness, a shared dimension, a shared perception. We recall Heraclitus: The waking (the conscious ones) must have a single cosmos in common.

A shared “world view” is critical to the development of a consensus on a unifying ethical principle. Each of us has some particular view of external reality. That view expresses our perception of the world, and determines our description of it. Yet the German term Weltanshauung, commonly used in philosophical writing, carries an even broader connotation than do the words in English. Our Weltanshauung expresses also our reaction to our world, and our sense of involvement in it. Writing the term as one word emphasizes that broader concept.

Historically of course there have been many worldviews, many different perceptions and interpretations of reality. Many worldviews have been constrictive, and have become fixed at the level of knowledge and description available in some specific historical context. Many of them still exist side by side in modern society, and that accounts in no small measure for our general ethical confusion.

In speaking of a shared worldview, a “single cosmos in common”, we are not asking for a consensus on matters of opinion or full agreement on the interpretation of current knowledge. That is not possible or even desirable. We seek only a shared consciousness, a common perception of reality. We seek a basic system of description, and a shared framework for understanding our individual experiences. Understanding that framework, we remain fully free to develop other levels of description and to experience our own involvement with our world.

Since a “single cosmos” is so important to developing ethics, we will do well to consider the development of a worldview. It is far beyond our present scope to survey the history of philosophy, but perhaps we can at least caricature it by scanning it quickly through a very wide-angle lens. Let us first propose a brief general classification of worldviews, and consider how ideas may be admitted into them.


The earliest type of worldview may be characterized as mythic. The classic myths were not consciously composed, but emerged into consciousness, giving form and voice to the multiplicity of unconscious energies of the human personality. Some myths emerged in oral tradition from countless unnamed ancestors. Some emerged as legend, that is, as meaningful interpretations of distant events. Others recorded the special insights of specific teachers, and became fixed in written tradition.

In this class of mythic worldviews, the gods and goddesses or other forces embody traits common to all of us. They preside over the natural events and energies which we observe in the material world and which resonate in our inner selves. The mythic cannot be dismissed as untrue, for its truth lies in the inner world of the psyche. Nonetheless, the mythic worldview, predicated on inner experience alone, is limited in satisfying the need for description of increasingly complex phenomena in the external material world.

The alchemical worldview is a transitional type, in which one seeks to explain more adequately and to modify the material world. Alchemy is primarily remembered for its effort to produce gold and silver from baser metals, but in the effort to study materials and transform them, it laid the groundwork for the development of modern chemistry.

Less remembered is alchemy’s philosophic aspect. It sought not only aurum vulgi or common gold, but also aurum philosophicum, philosopher’s gold, for the transformation of the human soul. In its elaborately encoded symbolic literature it sought a bridge between the mythic world of the psyche and the empirical external material world. In the transformation of substances, the alchemist symbolically sought spiritual renewal and rebirth. (1)

The third major worldview is the scientific. The scientific worldview seeks to observe the material world and to develop a descriptive framework that will satisfactorily explain a growing number of phenomena. The scientific worldview builds its system on a concept of knowledge which requires rigorous confirmation through statement of hypothesis and repeated experiment. Ideally, it makes careful distinction between knowledge and opinion. (2)

The scientific worldview characteristically seeks to reject data from the psyche because of the difficulty in developing experimental confirmation. It prefers to deal with material objects. Only toward the end of the last century did science begin to develop empirical theories regarding the psyche, primarily with a view to understanding mental illness. It has tended to dismiss the importance of myth and symbol in normal human functioning.

The scientific worldview is predicated on a theory of predictability, or linearity. Graphing the results in a y value as the value of x changes, will result in a predictable and reproducible curve. In classic science, causes have effects, and the results are reproducible when the conditions of the experiment remain the same. Various investigators must be able to agree on reality, with respect to the conditions of the experiment. Data which are not reproducible are not admissible in the formulation of theory. An idea or hypothesis which can be found to be untrue by experiment may not be admitted into the body of knowledge.

But what of operations too complex or too abstract to confirm by direct physical experiment? For example, operations in mathematics with numbers too large to count, or negative numbers. How does one count negative objects? There, one submits the ideas to reason, or to various types of equations, checking for internal consistency. Such operations are, in effect, thought experiments. If an idea always checks out and cannot be proved inconsistent, or wrong, it may be considered true.

Thus science, which means knowledge, may include in the body of knowledge judgments that are subject to testing and can not be found to be untrue. It is necessary to keep in mind the clear distinction between knowledge and opinion. One can know only that which is true. One may know that something is demonstrably untrue, but one may not speak of “false knowledge.” All knowledge is consistent. There is only one body of truth.

However, if a judgment can be refuted by either experiment (experience) or reason, it must be considered untrue. If a judgment cannot be submitted to definitive experience or reason, it must be considered unprovable. It must be considered a mere opinion. Equally reasonable people might well have contrary opinions.

The scientific method has been applied in many fields of endeavor. Medicine, sociology, economics, and psychology are examples of disciplines which, though not “basic sciences”, seek to apply the scientific method in shaping their respective worlds, and in human problem-solving. The scientific worldview has become the dominant thought pattern in the world’s academic community, and is thus a strong influence in public affairs generally.

One of the foremost scientist-philosophers who symbolizes the scientific worldview is Rene Descartes (1596-1650). The book which sets forth his principal contribution has a particularly long title: Discourse on the Method of Guiding the Reason in the Search for Truth in the Sciences; Also the Dioptric, the Meteors and the Geometry, which are Essays in this Method.

His major student interest was mathematics, especially geometry, but he made a major contribution in applying geometric principles to algebra. He is still encountered in the Cartesian coordinates, or axes on which curves or graphs are plotted today. He worked in physics, optics and astronomy (confirming Copernicus), in physiology, and in philosophy.

Yet even Descartes’ work is not entirely the product of reason. His major mathematical insight came in a dream in which he saw physics and other sciences linked to mathematics “as if by a chain”.(3) Even in science insights arise from the psyche before reason takes over. A similar famous example is the first solution of the molecular arrangement of benzene, the parent compound of a major class of chemicals. In 1865, F. A. Kekule proposed the circular chain-like arrangement of the six carbon atoms after dreaming of the ancient ring-like symbol, common in alchemy, of a snake biting its tail.(4)

In Descartes’ day, science was encompassed by the term natural philosophy. The Discourse on Method was as important to philosophy as to science in its demonstration that doubt was the basis for inquiry and for establishing knowledge. His “first principle” was that, though he could begin by doubting everything, he could not doubt his own existence, for “I think, therefore I am.” Encounter with existence, with what we may call one’s selfness, or consciousness, was the fundamental tenet for his method of reason.


It is important to understand that each of the above types of worldview is really a very loose category. Each category is comprised of many different, competing worldviews, and in modern life we encounter many blends of views. Each of us looks at the world through a lens ground by family experience, by economic situtation, by religious heritage, by general education, by professional or vocational training and practice, and by many other influences. As we shall discuss later, not least is our natural personality type.

Each of us has in our personal worldview many axes of vision. Though we focus through our basic lens, we use a different colored filter as we look along each axis. For example, some situations call for looking at the world in terms of economic theory. Along that axis, the “color spectrum” is the capitalism-communism scale. We choose our filter according to our views about investing for the production and distribution of goods and services. Our choice of filter is also influenced by our views about the distribution of wealth in society.

Some situations call for looking at the world politically. In the political spectrum, our choices fall somewhere on a broad scale between anarchy and totalitarianism. Fortunately, most of us cluster our differences along a much narrower scale somewhere toward the balanced center.

In looking at the world politically, we also see it in terms of social organization. Whether we are conservative or liberal depends on which axis we are considering. For example, one may have quite different views with respect to public policy about personal liberty and public policy on economic matters. In making or proposing law, our axes of view may be colored “legalistic” (i.e. highly regulatory) or laissez-faire.

We also look at the world through a religious filter. At first thought, one might consider this axis a spectrum of choices between certain denominations, sects, or even major world religions. In its principal sense, however, religion is the enterprise by which one expresses the fundamental relationship between one’s inner self and the outer world. Whether recognized or not, the inner self is always operative in human life, and we will develop that fundamental point in more detail in later chapters. The spectrum of our religious axis is the scale which expresses the extent to which we are conscious of and react to that inner self.

For example, the vision of a religious mystic will have a coloration representing deep awareness of the inner self. Such mystic understanding has been found in all major religions and is a principle characteristic of most primal religion. In terms of any sort of systematic theology, such a person might be positioned anywhere on the polytheism-monotheism-atheism scale.

The other end of the mystic scale is defined by the person who is completely unaware of the role of the inner self in conscious life. Such a person might be an atheist or agnostic, or might be a fervent fundamentalist of one of the major theistic religions. The fundamentalist finds religious expression and salvation through a rigid system of consciously held beliefs. That person may have little or no sense of the mystic aspect of religion.

In all social interactions, it is necessary to consider the independent functions of all these axes. We have considered worldview in some detail, not to belabor the obvious, but to show the distinctions which are necessary in understanding the worldview of others, and in finding a “cosmos in common.” Our goal continues to be the building of a common means of description and perception on which we may base a natural ethic.

That brings us to the naming of a fourth type of worldview. Our “cosmos in common” must be an understanding of the universe as we find it. The universal worldview is also a scientific worldview in that it values reason, observation (experimentation) and sets rigorous standards of knowledge. However, the universal worldview also reaches across the alchemical bridge to bring into consciousness a modern understanding of the reality of the mythic. It must consider the important function of the unconscious, the human psyche, in the development of human aspirations and in the ordering of human life.

The universal worldview goes further. It goes beyond the mere acknowledgement of the reality of the inner and the outer world. It sees the universe as truly a universe: as a unity, as a wholeness. Though the universe operates as a system of many levels, all levels are interrelated and in some measure interactive. Thus, the universal worldview is the systems view.

Because there are many levels of the universe as system, our apprehension and description of it are not developed entirely through linear logic. Thus, this presentation necessarily must skip around among various levels; that explains the frequent cross references or links to other subjects in the book.

In developing a systems worldview, we synthesize data, in part intuitively, from many levels. We look next at the importance of the natural personality type in the formulation of worldview.

Copyright 2000 by Donivan Bessinger. All rights reserved. 


Next Chapter: Self View and Ethics

More by Donivan Bessinger, MD


References:

(1) ALCHEMIST SYMBOLICALLY SOUGHT SPIRITUAL RENEWAL — Jung. MDR, p 201. Also: Joseph Campbell. The Mythic Image. Princeton University Press, 1974. p 254 ff.

(2) KNOWLEDGE — Books by Mortimer Adler (New York: Macmillan) have been especially helpful in developing the section on knowledge. See Six Great Ideas (1981) and Ten Philosophical Mistakes (1985).

(3) “AS IF BY A CHAIN” — Stanley V. Keeling. “Descartes, ReneÇ”. Encyclopedia Britannica 1965, 7: 281.

(4) SNAKE BITING ITS TAIL — C.G. Jung. MHS p 38.

 

Welcome

Friday, November 15th, 2002

This is the second Chapter from the online book: Living Ethics: The Way of Wholeness. See: 1) How Should We Live?


Ethics and Civilization

Donivan Bessinger, MD

– Individually and collectively we must synthesize a new worldview that is consistent with all knowledge and is harmonious with human nature and human aspirations …

– But that’s a tall order. Too tall. Immensely impractical!

We can imagine that the author and a skeptical friend are sitting in the central reading room of mankind’s library. As their voices rise above the obligate whisper, the attractive young librarian sitting at the nearby reference desk looks up from her computer screen and smiles with interest. The older librarian, a gray-haired man sitting at a desk farther away, looks at her sternly, as if to remind her of her duty to maintain the traditional order of things. The friend lowers his voice, but gestures sweepingly toward the rows and rows of books and documents. He continues.

– Look at all this stuff! How could we ever make sense out of all of this? Not even the specialists agree on the sense of it!

The young librarian stifles a smile that is more like a snicker, but doesn’t interfere.

– True, there are lots of data. We are living through an explosion of knowledge. It’s overwhelming. But under all the data, there’s only one reality. Isn’t that the key?

– You mean, if there’s only one reality, one “truth”, one cosmic “way it is”, all pieces of knowledge have to fit together?

– Exactly. It’s the fit of the various pieces into a coherent view that tells us that we’re on the right track. If the different puzzle pieces can be fit together to make a picture, then you can infer that the pieces belong to the puzzle, and the picture reflects the “reality” behind the puzzle’s pieces.

– Too bad the cosmic puzzle doesn’t come with a picture on the box top.


To most of us, “worldview” is merely the scene from the window — the traffic on the street passing the windows of our homes and workplaces, and the view from our automobiles and airplanes as we move through the world. Undoubtedly it also includes the tightly edited scene on the screen, as the world turns before the television cameras of the globe. Any other “world- view” is an abstract concept, of interest to philosophers and lexicographers perhaps, far removed from the everyday concerns of ordinary people embroiled in the preoccupations of the marketplace and the distractions of popular culture.

For each of us, the world turns on making a living, on our family relationships, and on our leisure time pursuits. We embrace the values which we see as directly supporting us in those concerns. In that context, ethics is left to take care of itself as we live by those values, and by the special rules of society, of our particular religious tradition, and of our professional groups.

So what then has “worldview” to do with us, and what does it have to do with ethics? Indeed, what does it have to do with the problems of civilization? The concepts of ethics and civilization are each tightly related to the question “How should we live?”. As we look more deeply, we find ethics to be the bond of civilization and of our ordinary relationships. Our sense of ethic is defined by our worldview. To understand the relationship between these concepts is the first task of our search for the principles of ethical action.

The word civilization is used in many contexts. Sometimes we think of it simply as an absence of savagery or barbarity (in which case the world cannot yet be defined as civilized!). Yet, even as a technical term, civilization can have several meanings. James Harvey Robinson, in a classic Encyclopedia Britannica article (1) which was carried for decades, defines civilization as human culture. To him, civilization is what distinguishes human society from animal groups. In that context, civilization is distinguished by mind. It consists of those non-inherited human traits, like language, religion, beliefs, and morals that are manifestations of human mind and reason.

The word is also used in discussing certain historical peoples. A civilization is a particular stage or class of human culture, one that has a certain level of complexity and a certain longevity. In a civilization, culture has a high degree of specialization of human tasks. Life is usually centered in cities. Communication is developed to a high level, with a common language, usually written. There is a high level of respect for knowledge and for teaching of that which must be transmitted for an individual’s and for society’s survival.

One may also say that civilization means life organized around mutual survival interests. A civilization is bound by a community of ideas. The civilization shares a common means of communication, economy and defense, all organized to support and extend life.

However, a civilization’s survival ideas must cope with more than human relationships. It must also come to grips with its supporting life forms. All life in interdependent. At whatever level, primitive or complex, the human society must relate to its natural food sources. For example, the primitive societies had to keep a natural balance with animal sources of food and clothing whether they were hunter-gatherers or herders. Plant sources were also important as food for the animals, and of such importance for mankind that agriculture was devised.

Early societies needed to be cognizant of “survival ideas” only within their immediate environs. That meant being aware of the need to limit hunting, fishing, or gathering to just those amounts needed for survival. It meant moving on when the agricultural capacity of a clearing was exhausted, or to allow the grazing capacity to recover.

Now, however, human society has reached the point at which there is only one civilization. Now the “immediate environs” are global. Humans can now encompass the view of their homeland in one glance, one small blue globe seen from space. Though there are many languages, and though there are a few isolated primitive communities, humans at all points of the earth and space may be reached by communications, and all languages may be inter-translated.

Further, there is a worldwide economy, in which the moneys of individuals, corporations, and nations all mingle in international banks. Trade extends throughout the globe. Commercial satellites of many nations have been carried into space. There is a common global defense interest. There are many warring factions, and there are adversary blocks of nations, but human society must now defend itself in common from its own weapons systems.

We have reached the point that civilization is synonymous again with humanity. The immediate environs of the new civilization are now the total biosphere. It is no longer practical to move on. Our survival ideas, our life ideas, must encompass all that lives. The survival of civilization is contingent on ideas held in common. Survival of the biosphere is dependent on the “ideosphere”.


It is apparent that at the conscious level there is a body of life ideas, meaning survival ideas, that operate in the maintenance of civilization. However our search for “the bond of civilization and of our ordinary relationships” takes us back to a more primal level.

The primitive element distinguishing a human being, distinguishing mind, is self-awareness. It is consciousness of existence. It is the ability to identify the I. However, the primitive element of civilization is the interpersonal relationship. In Martin Buber’s terminology, the relationship is predicated on the awareness of Other. The I must be extended into a concept of I-thou.

Thus, civilization is contingent on a common awareness of existence. However, the I-thou awareness is meaningless without an encounter between two minds. Buber quotes Heraclitus as saying that the waking have a single cosmos in common. (2)  The conscious (“waking”) encounter depends on existing within the same cosmos or world or dimension of experience and understanding.

For example, an observer in a two-dimensional “universe” could experience front-back and left-right, but could not encounter another two-dimensional observer in a plane above himself. For such an encounter to happen, each would have to move to the line at which their respective planes of existence intersected, if indeed they intersected at all.

Such a primal encounter is a “dialogue”, from the Greek words dia logos, “through the word.” We are speaking of a primitive awareness that preceeds spoken word. We are speaking of the binding of humans by a primal and common idea of existence, by primal word.

The concept of word is important in both its special and its ordinary meanings. Saint John’s gospel equates Christ with creative Logos: “In the beginning was the word …”. The concept of word as original creative idea has been present in human thought since its earliest times. Lao Tzu used the concept of Tao (“Way”) in a somewhat parallel meaning of creative bond or energy in creation. The relationship is apparent in the Chinese translation of the Saint John passage above, in which logos is translated as tao.

In its ordinary modern meaning, word is an idea given a name. Buber quotes Heraclitus as considering logos to be the meaning of being that dwells in the substance of the word. (3) Logos was word-with-meaning, a primal bond between meaning and speech. Robinson sees “words as deeds”, as agents in building and bonding civilization.

      Words have always been regarded as wonder-working acts; they create things which without them would not exist; they are the chief light of man — and his darkness as well. (4)

Word, in its ordinary meaning, communicates our world-experience (worldview). Word in its special meaning applies also to the dia logos or idea of primal awareness of existence and of other that is the atomic bond of civilization. Word in both meanings expresses the primal or “natural” element of ethics, that primitive awareness of the self in relationship to other, human and non-human “other” alike, which underlies all efforts to discern what we ought to do.

By this analysis, then, we are led to the possibility of a concept of a natural ethic, that is, to an ethical principle inherent in nature that operates without direction of the reasoning mind, but of which the mind can become aware. Indeed, we must become aware if we are to survive as civilization, or find fulfillment as individuals.

The essence of the natural ethic lies in affirmation of inter-dependent existence. The natural ethic, operating below the threshold of consciousness, begins something like this: “I exist, you exist. We share existence. Our existence is inter-related and inter-dependent.” Ethics as a rational study must start with bringing this ethical principle to the threshold of consciousness.

Such a statement goes against the grain of many ethicists today. From a reductive point of view, the quest is indeed long and perhaps hopelessly and impossibly intricate. Yet the pieces of the world puzzle do fit together in such a way as to give us an intuitive view of the possibilities.

Though we have used a different line of argument, our inquiry has brought us to the same point that Albert Schweitzer develops in his presentation of reverence for life. We will develop that more fully in Living Ethics, Part II. Our immediate task, however, and the occupation of the remainder of this volume, is to seek the basis for a common awareness of reality.

Copyright 2000 by Donivan Bessinger. All rights reserved.


Next Chapter: Worldview and Ethics

More by Donivan Bessinger, MD


References:

1) CLASSIC ENCYCLOPEDIA ARTICLE — James Harvey Robinson. “Civilization.” Encyclopedia Britannica 1965, 8: 825.

2) SINGLE COSMOS IN COMMON — Martin Buber. Knowledge of Man. A Philosophy of the Interhuman. New York: Harper & Row, 1965.

3) MEANING OF BEING THAT DWELLS — Buber, ibid.

4) “WORDS HAVE ALWAYS BEEN REGARDED” — Robinson, op. cit.

 

Welcome

Thursday, November 14th, 2002

The following is the first Chapter of an interesting online book called: Living Ethics: The Way of Wholeness


How Should We Live?

Donivan Bessinger, MD

It was after midnight. In the tropical night, I climbed to the rooftop of the hospital. The glow of the city below me created a distracting glare, but in the fronds of a tall palm extending just above roof level I found an eyeshield. I moved to the left to let my eyes adapt to the darker view of the sea horizon extending west beyond Pearl Harbor. The distorted sound of the tiny transistor radio had announced a delay, but now I repositioned, checked the bearing, and listened carefully as the local announcer resumed his squawky countdown. In a very few moments, I would witness one of the last atmospheric tests of a hydrogen bomb.

“Six … five … four … ”

From Johnson Island far to the west of my safe vantage point in Honolulu, some seven hundred miles away, I expected to see only a faint gray glow above the mushroom.

” Two … one … zero … ”

Silence. Then, despite the distance, a ball of light on the horizon brightly glowed in yellow, orange, red. A new sun began to rise briefly in the west, then set again into the midnight sea.


It is midwinter now, one year and a half later. The sun has been gone for three months, and will not reappear for three months more. The clear sky shows faint stars. The early moon reflected on bright snow gives the world a monochrome glow– not silver, but pewter. Midwinter noon and midwinter midnight are the same. It is cold, but now there is no wind. The flag pole that marks the South Pole site makes an adequate landmark, approximately a kilometer from camp. It is a good time for an afternoon walk around the world.

Once there, total stillness. Once the back is turned to the distant light at the entrance to the under-snow station, there is no sign of other life at all. Cold seeps in, even under the many layers of carefully engineered clothing, pulling out body heat, clawing at life.

Totally alone. Totally isolated. Minimal light. No other life. Bacteria? Only if buried in the ice as frozen inactive spores, or those traveling with me as my personal colonies. No plants. No insects. No birds. No life but my life, an alien life. How long can life last here, totally alone?

Life-alone. The cold claws at life-alone. Will-to-live pulls life back to the distant light, to rejoin warmth, to affirm life, to link to other life.

Is life-alone sustainable? Is life-alone conceivable?


Twenty-nine years ago, my young spirit of adventure led me far from my Carolina roots. Immediately after medical school, I went to Honolulu for internship. Following that, my two-year obligate duty with the Navy led me as a new medical officer to become officer-in-charge of South Pole Station in Antarctica, as part of Operation Deepfreeze.

We departed for Antarctica just as Kruschev’s missle-loaded ships approached Cuba, but they turned back, and we proceeded west and south. Very south. Then before the final leg of the trip to the South Pole, I saw the new nuclear power unit at McMurdo Station, Antarctica.

It had not been so many years since a summer job as a nuclear medicine research technician at Oak Ridge. The institute had still been treating some victims of a small nuclear accident earlier that year, and to a young medical enthusiast that was a disconcerting lesson. Yet despite the Cuban missle crisis and the other concerns and the problems, it seemed that in those still-early years of the nuclear era, there remained an optimistic echo of the theme “atoms for peace.”

During the next quarter of a century, as optimism about atom and optimism about peace both seemed to fade, the years merged my several images of early experience into a single metaphor, contracted but compelling, of future midnight sunrises and deadly winters. Just as time and probability magnified the little-remembered Oak Ridge accident into the starker more recent reality of Chernobyl, so did a nuclear apocalypse ever loom as a growing probability.

In the global psychosphere, as each nation in its collective psyche projected its own fear and power drive on the others, suspicions spiralled and logic inevitably convoluted, to the point of perceiving not reality but delusion. Only thus could each side have come to see in the nuclear danger the instrument of its own safety.

But the full manic breakdown did not happen, at least in the twentieth century. A glimmer of sane reflection and stark fear brought the super-powers to an agreement on intermediate range weapons. Social restructuring and new openness in Soviet society, then the opening of Eastern Europe with the unification of Germany gave renewed hope for further progress toward the lessening of tensions. There remained serious internal difficulties in the Soviet Union which led ultimately to its collapse. Yet, as the fearful senarios of “Y2K” computer glitches remined us at the turn of the year 2000, the problem of strategic nuclear weapons remains unsolved.

Even as relationships improved between the super-powers, warring fundamentalisms in the Middle East spawned new terrors for the world. Small nations raced to gain or further secure nuclear and chemical warfare capabilities, and some have clients who bomb randomly in the air and on the ground around the globe. The nuclear threat remains. As nuclear arms come to be held by more nations, the world drifts further toward greater nuclear instability, allowing much less confidence than in the early 1990s that we are about to achieve a stable “new world order.”

There are other instabilities. We proceed on a concerted campaign to destroy our primary means of producing oxygen, by destroying our forests. Deforestation has already led to famine, often in the very areas where human reproduction is most rampant. We continue to poison and heat the atmosphere with effluents of our smoke stacks and exhaust pipes. We still poison our waters with pesticides, and our own tissues with carcinogens. These “environmental” problems are less frightening perhaps because they are more insidious, but they are no less serious in their ultimate implications for world life.

If the nation-gods of our modern mythic Olympus could come to lie on a cosmic counselor’s couch, seeking one more time to settle their household struggle without throwing nuclear thunderbolts, and seeking anew a tranquil global domesticity, what would a mythic analyst say? Wherein may a cosmic counselor prescribe healing?

The goddess of Wisdom must doubtless prescribe a new way of thinking. She must draw from the collective unconscious of mankind the energies for a new synthesis of the world of knowledge. She must bring into the collective consciousness a new pattern of thinking, an ethic that is true to human nature and to life process itself, that moves away from conflict, and that sparks mankind toward a new creativity in thought and action.

The nuclear problem and the environmental problem are only the global dimension of a more immediate personal one. How will I and my family survive? How will I relate to myself and to all others, at all the levels of my life? As Einstein said,

      The release of atomic energy has not created a new problem. It has merely made more urgent the necessity of solving an existing one. (1)

In Christopher Burstall’s film The Greeks, Socrates says,

      The question that concerns us is no ordinary question. It is: How should men live? (2)

That question, as old as mankind, today looms larger still. That question defines the central problem of all human relationships and decisions, be they simple and personal, or be they global. It is the question that defines ethics: How ought we to live?

In its broadest sense, ethics is the complete enterprise of making correct decisions. (3)  In a complex world, ethics must take into account interactions at many levels. Actions must be right in all their effects. An ethic is only as valid as the worldview on which it is based. To be adequate, an ethic must be based on a correct view of the world as it is. One of our most basic “ethical problems” is that we have lost confidence that there can be a “correct view.” Yet, even though twentieth century philosophy has left us the legacy that truth is indeterminate, it can still be “correct” to seek dynamically the best view based on the most coherent integration of current knowledge.

In our patterns of thinking to date, we have emphasized the rigid compartmentalization of knowledge. Confronted with problems, we typically go to some particular aisle in the stacks of mankind’s library, and hide there in search of rules on which to base our decision-making. Confronted with today’s complexities, however, we must bring the books from many shelves into the large central reading room of knowledge, and into the collective consciousness.

Individually and collectively we must synthesize a new worldview that is consistent with all knowledge and is harmonious with human nature and human aspirations. At the personal level, we must deal with the dichotomy between the aspirations of our inner selves and our achievements in the outer world. At the level of the cosmic analyst’s couch, we must deal with the serious neurotic dichotomy between the human aspirations of civilization and the outer world of global conflicts and predicaments.

Unfortunately, instead of a new way of thinking, the conventional wisdom has called for a collective faith in economic, political or strategic theory, and the world has continued to draw into a deeper neurosis — albeit at the century’s turn, an economically vigorous one. As the alienation of our basic inner aspirations continues, we work harder for solutions in the realm of Ego, the realm of theory and consciousness.

We are left only with a resurgence of fundamentalist fervor in all of the major religions, and political fervor drawing us into greater polarities, away from a balanced center, away from a common understanding, and away from a common creative vision.

In the process, we have on the one hand jettisoned “traditional” values, while at the same time we challenge each other for the ascendency of our own traditions. The teaching of values in the schools and universities has been rejected as too religious or too political, and we are left with a vacuum of values and an absence of consensus about relevant ethical systems. We are left with the absence of an ethical foundation. We should not be surprised that the world seems evil.

In a 1952 speech, Adlai Stevenson said,

      Nature is neutral. Man has wrested from nature the power to make the world a desert or to make the deserts bloom. There is no evil in the atom; only in man’s souls. (4)

That is the problem we must come to terms with. In deciding “How should we live” we must re-examine the nature of nature.

In determining the ethical solution to problems in the system that is our own individual organism, we must work from a realistic view of human nature, taking into account biological and psychological needs. Yet increasingly, we are realizing that we cannot make a reductive distinction between the biological and the psychological, as though there were some concrete boundary defining those as separate territories. The concept of health is the concept of wholeness: the orderly functioning of the whole person.

Similarly, if we are to solve problems in the global system, we must work from a realistic view of the multi-level inter-workings of the whole life system, taking into account the needs of all life, for we depend on the orderly functioning of the whole biosphere for individual and societal survival. The answer to “How should we live?” must be based on a global worldview.

Despite our fears and misgivings, we can learn to recognize in ourselves and in each other across the globe the will to survive, the common will to live. Each of us is strongly directed toward an inner balance, both metabolically and psychologically. Similarly, all creation works as a system seeking its balance. That is the common bond.

In the remaining chapters we will scan the world of knowledge looking for new meaning and a “new way of thinking.” We will not inquire in great technical depth as specialists, but we will draw from many specialists a view of an interrelated creation-in-progress which can best be understood in terms of its unity. We will seek to provide a basic primer for understanding the wholeness of creation.

In that systems view of wholeness we will find not a doomsday view, but an optimistic worldview for survival. We will find a sense of purpose. We will find ourselves. We will find a living ethic and a prescription for healing.

Copyright 2000 by Donivan Bessinger. All rights reserved.


Next Chapter: Ethics and Civilization

More by Donivan Bessinger, MD


References:

(1 ) “THE RELEASE OF ATOMIC ENERGY” — Albert Einstein. Quoted in: Peter’s Quotations, Ideas for Our Time. L.J. Peter (editor). New York: Bantam, 1979. p. 32.

(2) “THE QUESTION THAT CONCERNS US” — The Greeks, a film by Christopher Burstall. BBC, 1980. Translation by Kenneth Dover.

(3) ETHICS IS THE COMPLETE ENTERPRISE — The word ethics may be construed as singular or plural, according to the Random House unabridged dictionary. Since I cannot discern any basis for a consistant rule, I will simply follow my personal sense of what sounds best in the particular sentence.

(4) “NATURE IS NEUTRAL” — Adlai Stevenson speech at Hartford, Connecticut on September 18, 1952. Quoted in: Familiar Quotations by John Bartlett, 13th Edition. Boston: Little Brown, 1955. page 987.

 

Welcome

Wednesday, November 13th, 2002

Reposted from KurzweilAI.net


In the early 1980s, MIT professor Sherry Turkle first called the computer a “second self.” With this essay, she presents a major new theory of “evocative objects”: Wearable computers, PDAs, online multiple identities, “companion species” (such as quasi-alive virtual pets, digital dolls, and robot nurses for the elderly), “affective computing” devices (such as the human-like Kismet robot), and the imminent age of machines designed as relational artifacts are causing us to see ourselves and our world differently. They call for a new generation of psychoanalytic self-psychology to explore the human response and the human vulnerability to these objects.

Whither Psychoanalysis in a Computer Culture?

Sherry Turkle

Over twenty years ago, as a new faculty member at MIT, I taught an introductory class on psychoanalytic theory. For one meeting, early in the semester, I had assigned Freud’s chapters on slips of the tongue from The Psychopathology of Everyday Life. I began class by reviewing Freud’s first example: the chairman of a parliamentary session begins the meeting by declaring it closed1.

Freud’s analysis centered on the possible reasons behind the chairman’s slip: he might be anxious about what the parliamentarians had on their agenda. Freud’s analysis turned on trying to uncover the hidden meaning behind the chairman’s remark. The theoretical effort was to understand his mixed emotions, his unconscious ambivalence.

As I was talking to my class about the Freudian notions of the unconscious and of ambivalence, one of the students, an undergraduate majoring in computer science, raised her hand to object. She was studying at the MIT Artificial Intelligence Laboratory, which was (and is) a place whose goal, in the words of one of its founders, Marvin Minsky, is to create “machines that did things that would be considered intelligent if done by people. Work in the AI Lab began with the assumption that the mind, in Minsky’s terms, “was a meat machine,” best understood by analogizing its working to that of a computer program. It was from this perspective that my student objected to what she considered a tortured explanation for slips of the tongue.

“In a Freudian dictionary,” she began, “closed and open are far apart. In a Webster’s dictionary,” she continued, “they are as far apart as the listings for C and the listings for O. But in a computational dictionary — such as we have in the human mind — closed and open are designated by the same symbol, separated by a sign of opposition. Closed equals ‘minus’ open. To substitute closed for open does not require the notion of ambivalence or conflict. When the substitution is made, a bit has been dropped. A minus sign has been lost. There has been a power surge. No problem.”

With this brief comment, a Freudian slip had been transformed into an information processing error. An explanation in terms of meaning had been replaced by a narrative of mechanistic causation. At the time, that transition from meaning to mechanism struck me as emblematic of a larger movement that might be taking place in psychological culture. Were we moving from a psychoanalytic to a computer culture, one that would not need such notions as ambivalence when it modeled the mind as a digital machine2?

For me, that 1981 class was a turning point. The story of the relationship between the psychoanalytic and computer cultures moved to the center of my intellectual concerns. But the story of their relationship has been far more complex than the narrative of simple transition that suggested itself to me during the early 1980s. Here I shall argue the renewed relevance of a psychoanalytic discourse in digital culture. Indeed, I shall argue that this relevance is so profound as to suggest an occasion for a revitalization and renewal of psychoanalytic thinking.

In my view, this contemporary relevance does not follow, as some might expect, from efforts to link psychoanalysis and computationally-inspired neuroscience. Nor does it follow, as I once believed it would, from artificial intelligence and psychoanalysis finding structural or behavioral analogies in their respective objects of study.

In my 1988, “Psychoanalysis and Artificial Intelligence: A New Alliance3,” I suggested an opening for dialogue between these two traditions that had previously eyed each other with suspicion if not contempt. In my view, the opening occurred because of the ascendance of “connectionist” models of artificial intelligence. Connectionist descriptions of how mind was “emergent” from the interactions of agents had significant resonance with the way psychoanalytic object-relations theory talked about objects in a dynamic inner landscape. Both seemed to be describing what Minsky would have called a “society of mind.”

Today, however, the elements within the computer culture that speak most directly to psychoanalysis are concrete rather than theoretical. Novel and evocative computational objects demand a depth psychology of our relationships with them. The computer culture needs psychoanalytic understandings to adequately confront our evolving relationships with a new world of objects. Psychoanalysis needs to understand the influence of computational objects on the terrain it knows best: the experience and specificity of the human subject.

Evocative Objects and Psychoanalytic Theory

The designers of computational objects have traditionally focused on how these objects might extend and/or perfect human cognitive powers. As an ethnographer/psychologist of computer culture, I hear another narrative as well: that of the users. Designers have traditionally focused on the instrumental computer, the computer that does things for us.

Computer users are frequently more in touch with the subjective computer, the computer that does things to us, to our ways of seeing the world, to the way we think, to the nature of our relationships with each other. Technologies are never “just tools.” They are evocative objects. They cause us to see ourselves and our world differently.

While designers have focused on how computational devices such as personal digital assistants will help people better manage their complex lives, users have seen devices such as a Palm Pilot as extensions of self. The designer says: “People haven’t evolved to keep up with complexity. Computers will help.” The user says: “When my Palm crashed it was like a death. More than I could handle. I had lost my mind.”

Wearable computers are devices that enable the user to have computer and online access all the time, connected to the Web by a small radio transmitter and using specially designed eyeglasses as a computer monitor. Designers of wearable computing talk about new and indeed, superhuman access to information. For example, with a wearable computer, you can be in a conversation with a faculty colleague and accessing his or her most recent papers at the same time.

But when people actually wear computers all the time (and in this case, this sometimes happens when the designers begin to use and live with the technology) they testify to impacts on a very different register: wearable computers change one’s sense of self. One user says, “I become my computer. It’s not just that I remember people or know more about them. I feel invincible, sociable, better prepared. I am naked without it. With it, I’m a better person.” A wearable computer is lived as a glass through which we see, however darkly, our cyborg future4. Indeed, the group of students at MIT who have pioneered the use of wearable computing call themselves cyborgs.

Computer research proceeds through a discourse of rationality. Computer culture grows familiar with the experiences of passion, dependency, and profound connection with artifact. Contemporary computational objects are increasingly intimate machines; they demand that we focus our attention on the significance of our increasingly intimate relationships with them. This is where psychoanalytic studies are called for. We need a developmental and psychodynamic approach to technology that focuses on our new object relations.

There is a certain irony in this suggestion, for of course psychoanalysis has its own “object-relations” tradition5. Freud’s “Mourning and Melancholia” opened psychoanalysis to thinking about how people take lost objects and internalize them, creating new psychic structure along with new facets of personality and capacity6. But for psychoanalysis, the “objects” in question were people. A small number of psychoanalytic thinkers writers explored the power of the inanimate (for example, D. W. Winnicott and Erik Erikson, child analysts who wrote about the experience of objects in children’s play), but, in general, the story of “object relations” in psychoanalysis has cast people in the role of “objects.”

Today, the new objects of our lives call upon psychoanalytic theory to create an object relations theory that really is about objects in the everyday sense of the word.

What are these new objects? When in the early 1980s I first called the computer a “second self” or a Rorschach, an object for the projection of personhood, relationships with the computer were usually one-to-one, a person alone with a machine. This is no longer the case. A rapidly expanding system of networks, collectively known as the Internet, links millions of people together in new spaces that are changing the way we think, the nature of our sexuality, the form of our communities, our very identities. A network of relationships on the Internet challenges what we have traditionally called “identity.”

Most recently, a new kind of computational object has appeared on the scene. “Relational artifacts,” such as robotic pets and digital creatures, are explicitly designed to have emotive, affect-laden connections with people. Today’s computational objects do not wait for children to “animate” them in the spirit of a Raggedy Anne doll or the Velveteen Rabbit, the toy who finally became alive because so many children had loved him. They present themselves as already animated and ready for relationship. People are not imagined as their “users” but as their companions.

At MIT, a research group on “affective computing” works on the assumption that machines will not be able to develop human-like intelligence without sociability and affect. The mission of the affective computing group is to develop computers that are programmed to assess their users’ emotional states and respond with emotional states of their own. In the case of the robotic doll and the affective computers, we are confronted with relational artifacts that demand that the human users attend to the psychology of a machine.

Today’s relational artifacts include robot dogs and cats, some specially designed and marketed to lonely elders. There is also a robot infant doll that makes baby sounds and even baby facial expressions, shaped by mechanical musculature under artificial skin. This computationally complex doll has baby “states of mind.” Bounce the doll when it is happy, and it gets happier. Bounce it when it is grumpy and it gets grumpier.

These relational artifacts provide good examples of how psychoanalysis might productively revisit old “object” theories in light of new “object” relations. Consider whether relational artifacts could ever be “transitional objects” in the spirit of a baby blanket or rag doll. For Winnicott, such objects (to which children remain attached even as they embark on the exploration of the world beyond the nursery) are mediators between the child’s earliest bonds with the mother, whom the infant experiences as inseparable from the self, and the child’s growing capacity to develop relationships with other people who will be experienced as separate beings.

The infant knows transitional objects as both almost-inseparable parts of the self and, at the same time, as the first not-me possessions. As the child grows, the actual objects are left behind. The abiding effects of early encounters with them, however, are manifest in the experience of a highly-charged intermediate space between the self and certain objects in later life. This experience has traditionally been associated with religion, spirituality, the perception of beauty, sexual intimacy, and the sense of connection with nature. In recent years, the power of the transitional object is commonly seen in experiences with computers.

Just as musical instruments can be extensions of the mind’s construction of sound, computers can be extensions of the mind’s construction of thought. A novelist refers to “my ESP with the machine. The words float out. I share the screen with my words.” An architect who uses the computer to design goes even further: “I don’t see the building in my mind until I start to play with shapes and forms on the machine. It comes to life in the space between my eyes and the screen.” Musicians often hear the music in their minds before they play it, experiencing the music from within before they experience it from without. The computer similarly can be experienced as an object on the border between self and not-self.

In the past, the power of objects to play this transitional role has been tied to the ways in which they enabled the child to project meanings onto them. The doll or the teddy bear presented an unchanging and passive presence. In the past, computers were also targets of projection; the machine functioned as a Rorschach or “second self.”

But today’s relational artifacts take a decidedly more active stance. With them, children’s expectations that their dolls want to be hugged, dressed, or lulled to sleep don’t only come from the child’s projection of fantasy or desire onto inert playthings, but from such things as the digital dolls’ crying inconsolably or even saying: “Hug me!” or “It’s time for me to get dressed for school!”

In a similar vein, consider how these objects look from the perspective of self psychology. Heinz Kohut describes how some people may shore up their fragile sense of self by turning another person into a “self object.” In the role of self object, the other is experienced as part of the self, thus in perfect tune with the fragile individual’s inner state. Disappointments inevitably follow.

Relational artifacts (not as they exist now but as their designers promise they will soon be) clearly present themselves as candidates for such a role. If they can give the appearance of aliveness and yet not disappoint, they may even have a comparative advantage over people, and open new possibilities for narcissistic experience with machines. One might even say that when people turn other people into self-objects, they are making an effort to turn a person into a kind of “spare part.” From this point of view, relational artifacts make a certain amount of sense as successors to the always-resistant human material.

Just as television today is a background actor in family relationships and a “stabilizer” of mood and affect for individuals in their homes, in the near future a range of robotic companions and a web of pervasive computational objects will mediate a new generation’s psychological and social lives. We will be living in a relational soup of computation that offers itself as a self-ether if not as a self-object. Your home network and the computational “agents” programmed into it, indeed the computing embedded in your furniture and your clothing, will know your actions, your preferences, your habits, and your physiological responses to emotional stimuli.

A new generation of psychoanalytic self-psychology is called upon to explore the human response and the human vulnerability to these objects.

Personal Computing: One-on-One

With the Machine Each modality of being with a computer, one-on-one with the machine, using the computer as a gateway to other people, and being presented with it as a relational artifact, implies a distinct mode of object relations. Each challenges psychoanalytic thinking in a somewhat different way. And all of these challenges face us at the same time. The development of relational artifacts does not mean that we don’t also continue to spend a great deal of time alone, one-on-one with our personal computers.

Being alone with a computer can be compelling for many different reasons. For some, computation offers the promise of perfection, the fantasy that “If you do it right, it will do it right, and right away.” Writers can become obsessed with fonts, layout, spelling and grammar checks. What was once a typographical error can be, like Hester Prynne’s Scarlet Letter, a sign of shame. As one writer put it: “A typographical error is the sign not of carelessness but of sloth and disregard for others, the sign that you couldn’t take the one extra second, the one keystroke, to make it right.” Like the anorectic projecting self worth onto his or her body and calorie consumption, and who endeavors to eat ten calories less each day, game players or programmers may try to get to one more screen or play ten minutes more each day when dealing with the perfectible computational material.

Thus, the promise of perfection is at the heart of the computer’s holding power for some. Others are drawn by different sirens. As we have seen, there is much seduction in the sense that on the computer, mind is building mind or even merging with the mind of another being. The machine can seem to be a second self, a metaphor first suggested to me by a thirteen-year-old girl who said, “When you program a computer there is a little piece of your mind, and now it’s a little piece of the computer’s mind. And now you can see it.” An investment counselor in her mid-forties echoes the child’s sentiment when she says of her laptop computer: “I love the way it has my whole life on it.” If one is afraid of intimacy yet afraid of being alone, a computer offers an apparent solution: the illusion of companionship without the demands of friendship. In the mirror of the machine, one can be a loner yet never be alone.

Lives on the Screen: Relating Person-to-Person via Computer

From the mid-1980s, the cultural image of computer use expanded from an individual alone with a computer to an individual engaged in a network of relationships via the computer. The Internet became a powerful evocative object for rethinking identity, one that encourages people to recast their sense of self in terms of multiple windows and parallel lives.

Virtual personae. In cyberspace, as is well known, the body is represented by one’s own textual description, so the obese can be slender, the beautiful plain. The fact that self-presentation is written in text means that there is time to reflect upon and edit one’s “composition” which makes it easier for the shy to be outgoing, the “nerdy” sophisticated. The relative anonymity of life on the screen — one has the choice of being known only by one’s chosen “handle” or online name — gives people the chance to express often unexplored aspects of the self. Additionally, multiple aspects of self can be explored in parallel. Online services offer their users the opportunity to be known by several different names. For example, it is not unusual for someone to be BroncoBill in one online context, ArmaniBoy in another, and MrSensitive in a third.

The online exercise of playing with identity and trying out new ones is perhaps most explicit in “role playing” virtual communities and online gaming where participation literally begins with the creation of a persona (or several), but it is by no means confined to these somewhat exotic locales. In bulletin boards, newsgroups, and chatrooms, the creation of personae may be less explicit than in virtual worlds or games, but it is no less psychologically real. One IRC (Internet Relay Chat) participant describes her experience of online talk: “I go from channel to channel depending on my mood Ö. I actually feel a part of several of the channels, several conversations…. I’m different in the different chats. They bring out different things in me.” Identity play can happen by changing names and by changing places.

Even the computer interface encourages rethinking complex identity issues. The development of the windows metaphor for computer interfaces was a technical innovation motivated by the desire to get people working more efficiently by “cycling through” different applications much as time-sharing computers cycled through the computing needs of different people. But in practice, windows have become a potent metaphor for thinking about the self as a multiple, distributed, “time-sharing” system. The self is no longer simply playing different roles in different settings, something that people experience when, for example, one wakes up as a lover, makes breakfast as a mother, and drives to work as a lawyer. The windows metaphor perhaps merely suggests a distributed self that exists in many worlds and plays many roles at the same time. Cyberspace, however, translates that metaphor into a lived experience of “cycling through.”

Identity, Moratoria and Play. For some people, cyberspace is a place to “act out” unresolved conflicts, to play and replay characterological difficulties on a new and exotic stage. For others, it provides an opportunity to “work through” significant personal issues, to use the new materials of cybersociality to reach for new resolutions. These more positive identity-effects follow from the fact that for some, cyberspace provides what Erik Erikson would have called a “psychosocial moratorium,” a central element in how Erikson thought about identity development in adolescence.

Although the term “moratorium” implies a “time out,” what Erikson had in mind was not withdrawal. On the contrary, the adolescent moratorium is a time of intense interaction with people and ideas. It is a time of passionate friendships and experimentation. The adolescent falls in and out of love with people and ideas. Erikson’s notion of the moratorium was not a “hold” on significant experiences but on their consequences. It is a time during which one’s actions are in a certain sense, not counted as they will be later in life. They are not given as much weight, not given the force of full judgment. In this context, experimentation can become the norm rather than a brave departure. Relatively consequence-free experimentation facilitates the development of a “core self,” a personal sense of what gives life meaning that Erikson called “identity.”

Erikson developed these ideas about the importance of a moratorium during the late 1950s and early 1960s. At that time, the notion corresponded to a common understanding of what “the college years” were about. Today, thirty years later, the idea of the college years as a consequence-free “time out” seems of another era. College is pre-professional and AIDS has made consequence-free sexual experimentation an impossibility. The years associated with adolescence no longer seem a “time out.” But if our culture no longer offers an adolescent moratorium, virtual communities often do. It is part of what makes them seem so attractive.

Erikson’s ideas about stages did not suggest rigid sequences. His stages describe what people need to achieve before they can easily move ahead to another developmental task. For example, Erikson pointed out that successful intimacy in young adulthood is difficult if one does not come to it with a sense of who one is, the challenge of adolescent identity building. In real life, however, people frequently move on with serious deficits. With incompletely resolved “stages,” they simply do the best they can. They use whatever materials they have at hand to get as much as they can of what they have missed. Now virtual social life can play a role in these dramas of self-reparation. Time in cyberspace reworks the notion of the moratorium because it may now exist on an always-available “window.” Analysts need to note, respect and interpret their patients’ “life on the screen.”

Having literally written our online personae into existence, they can be a kind of Rorschach. We can use them to become more aware of what we project into everyday life. We can use the virtual to reflect constructively on the real. Cyberspace opens the possibility for identity play, but it is very serious play. People who cultivate an awareness of what stands behind their screen personae are the ones most likely to succeed in using virtual experience for personal and social transformation. And the people who make the most of their lives on the screen are those who are capable of approaching it in a spirit of self-reflection. What does my behavior in cyberspace tell me about what I want, who I am, what I may not be getting in the rest of my life?

“Case” is a 34-year-old industrial designer happily married to a female co-worker. Case describes his RL persona as a “nice guy,” a “Jimmy Stewart type like my father.” He describes his outgoing, assertive mother as a “Katherine Hepburn type.” For Case, who views assertiveness through the prism of this Jimmy Stewart/Katherine Hepburn dichotomy, an assertive man is quickly perceived as “being a bastard.” An assertive woman, in contrast, is perceived as being “modern and together.” Case says that although he is comfortable with his temperament and loves and respects his father, he feels he pays a high price for his low-key ways. In particular, he feels at a loss when it comes to confrontation, both at home and at work. Online, in a wide range of virtual communities, Case presents himself as females to whom he refers as his “Katherine Hepburn types.” These are strong, dynamic, “out there” women. They remind Case of his mother, who “says exactly what’s on her mind.” He tells me that presenting himself as a woman online has brought him to a point where he is more comfortable with confrontation in his RL as a man.

Additionally, Case has used cyberspace to develop a new model for thinking about his mind. He thinks of his Katherine Hepburn personae as various “aspects of the self.” His online life reminds him of how Hindu gods could have different aspects or sub-personalities, or avatars, all the while being a whole self.

Case’s inner landscape is very different from those of a person with multiple personality disorder. Case’s inner actors are not split off from each other or his sense of “himself.” He experiences himself very much as a collective whole, not feeling that he must goad or repress this or that aspect of himself into conformity. He is at ease, cycling through from Katherine Hepburn to Jimmy Stewart. To use the psychoanalyst Philip Bromberg’s language, online life has helped Case learn how to “stand in the spaces between selves and still feel one, to see the multiplicity and still feel a unity.” To use the computer scientist Marvin Minsky’s language, Case feels at ease cycling through his “society of mind,” a notion of identity as distributed and heterogeneous. Identity, from the Latin idem, has been typically used to refer to the sameness between two qualities. On the Internet, however, one can be many and usually is.

Most recently, Ray Kurzweil, inventor of the Kurzweil reading machine and AI researcher, has created a virtual alter ego: a female rock star named Ramona. Kurzweil is physically linked to Ramona. She moves when he moves; she speaks when he speaks (his voice is electronically transformed into that of a woman); she sings when he sings. What Case experienced in the relative privacy of an online virtual community, Kurzweil suggests will be standard identity play for all of us. Ramona can be expressed “live” on a computer screen as Kurzweil performs “her” and as an artificial intelligence on Kurzweil’s web site.

Theory and objects-to-think-with. The notions of identity and multiplicity to which I was exposed in the late 1960s and early 1970s originated within the continental psychoanalytic tradition. These notions, most notably that there is no such thing as “the ego” — that each of us is a multiplicity of parts, fragments, and desiring connections — grew in the intellectual hothouse of Paris; they presented the world according to such authors as Jacques Lacan, Gilles Deleuze, and FÈlix Guattari. I met these ideas and their authors as a student in Paris, but despite such ideal conditions for absorbing theory, my “French lessons” remained abstract exercises. These theorists of postructuralism spoke words that addressed the relationship between mind and body, but from my point of view had little to do with my own.

In my lack of personal connection with these ideas, I was not alone. To take one example, for many people it is hard to accept any challenge to the idea of an autonomous ego. While in recent years, many psychologists, social theorists, psychoanalysts, and philosophers have argued that the self should be thought of as essentially decentered, the normal requirements of everyday life exert strong pressure on people to take responsibility for their actions and to see themselves as unitary actors. This disjuncture between theory (the unitary self is an illusion) and lived experience (the unitary self is the most basic reality) is one of the main reasons why multiple and decentered theories have been slow to catch on — or when they do, why we tend to settle back quickly into older, centralized ways of looking at things.

When twenty years later, I first used my personal computer and modem to join online communities, I had an experience of this theoretical perspective that brought it shockingly down to earth. I used language to create several characters. My actions were textual — my words made things happen. I created selves that were made of and transformed by language. And in each of these different personae, I was exploring different aspects of my self. The notion of a decentered identity was concretized by experiences on a computer screen. In this way, cyberspace became an object to think with for thinking about identity. In cyberspace, identity was fluid and multiple, a signifier no longer clearly points to a thing that is signified, and understanding is less likely to proceed through analysis than by navigation through virtual space.

Appropriable theories, ideas that capture the imagination of the culture at large, tend to be those with which people can become actively involved. They tend to be theories that can be “played” with. So one way to think about the social appropriability of a given theory is to ask whether it is accompanied by its own objects-to-think-with that can help it move out beyond intellectual circles.

For example, the popular appropriation of Freudian theory had little to do with scientific demonstrations of its validity. Freudian theory passed into the popular culture because they offered robust and down-to-earth objects-to-think-with. The objects were not physical but almost-tangible ideas such as dreams and slips of the tongue. People were able to play with such Freudian “objects.” They became used to looking for them and manipulating them, both seriously and not so seriously. And as they did so, the idea that slips and dreams betray an unconscious started to feel natural.

In Freud’s work, dreams and slips of the tongue carried the theory. Today, life on the computer screen carries theory. People decide that they want to interact with others on a computer network. They get an account on a commercial service. They think that this will provide them with new access to people and information and of course it does.

But it does more. When they log on, they may find themselves playing multiple roles; they may find themselves playing characters of the opposite sex. In this way they are swept up by experiences that enable them to explore previously unexamined aspects of their sexuality or that challenge their ideas about a unitary self. The instrumental computer, the computer that does things for us has another side. It is also a subjective computer that does things to us — to our view of our relationships, to our ways of looking at our minds and ourselves

Within the psychoanalytic tradition, many “schools” have departed from a unitary view of identity, among these the Jungian, object-relations, and Lacanian. In different ways, each of these groups of analysts was banished from the ranks of orthodox Freudians for such suggestions, or somehow relegated to the margins. As America became the center of psychoanalytic politics in the mid-twentieth century, ideas about a robust executive ego moved into the psychoanalytic mainstream.

These days, the pendulum has swung away from any complacent view of a unitary self. Through the fragmented selves presented by patients and through theories that stress the decentered subject, contemporary social and psychological thinkers are confronting what has been left out of theories of the unitary self. Online experiences with “parallel lives” are part of the significant cultural context that supports new ways of theorizing about non-pathological, indeed healthy, multiple selves.

Relational Artifacts: A Companion Species?

In Steven Spielberg’s movie, AI: Artificial Intelligence, scientists build a humanoid robot boy, David, who is programmed to love. David expresses this love to a woman who has adopted him as her child. In the discussion that followed the release of the film, emphasis usually fell on the question whether such a robot could really be developed. People thereby passed over a deeper question, one that historically has contributed to our fascination with the computer’s burgeoning capabilities. That question concerns not what computers can do or what computers will be like in the future, but rather, what we will be like. What kinds of people are we becoming as we develop more and more intimate relationships with machines?

In this context, the pressing issue in A.I. is not the potential “reality” of a non-biological son, but rather that faced by his adoptive mother — a biological woman whose response to a machine that asks for her nurturance is the desire to nurture it; whose response to a non-biological creature who reaches out to her is to feel attachment, horror, love, and confusion.

The questions faced by the mother in A.I. include “What kind of relationship is it appropriate, desirable, imaginable to have with a machine?” and “What is a relationship?” Although artificial intelligence research has not come close to creating a robot such as Spielberg’s David, these questions have become current, even urgent.

Today, we are faced with relational artifacts to which people respond in ways that have much in common with the mother in A.I. These artifacts are not perfect human replicas as was David, but they are able to push certain emotional buttons (think of them perhaps as evolutionary buttons). When a robotic creature makes eye contact, follows your gaze, and gestures towards you, you are provoked to respond to that creature as a sentient and even caring other. Psychoanalytic thought offers materials that can deepen our understanding of what we feel when we confront a robot child who asks us for love. It can help us explore what moral stance we might take if we choose to pursue such relationships.

There is every indication that the future of computational technology will include relational artifacts that have feelings, life cycles, moods, that reminisce, and have a sense of humor — that say they love us, and expect us to love them back. What will it mean to a person when their primary daily companion is a robotic dog? Or their health care “attendant” is built in the form of a robot cat? Or their software program attends to their emotional states and, in turn, has affective states of its own? In order to study these questions I have embarked on a research project that includes fieldwork in robotics laboratories, among children playing with virtual pets and digital dolls, and among the elderly to whom robotic companions are starting to be aggressively marketed.

I have noted that in the over two decades in which I have explored people’s relationships with computers, I have used the metaphor of the Rorschach, the computer as a screen on which people projected their thoughts and feelings, their very different cognitive styles. With relational artifacts, the Rorschach model of a computer/human relationship breaks down. People are learning to interact with computers through conversation and gesture; people are learning that to relate successfully to a computer you have to assess its emotional “state.”

In my previous research on children and computer toys, children described the lifelike status of machines in terms of their cognitive capacities (the toys could “know” things, “solve” puzzles). In my studies on children and Furbies, I found that children describe these new toys as “sort of alive” because of the quality of their emotional attachments to the objects and because of the idea that the Furby might be emotionally attached to them. So, for example, when I ask the question, “Do you think the Furby is alive?” children answer not in terms of what the Furby can do, but how they feel about the Furby and how the Furby might feel about them.

Ron (6): Well, the Furby is alive for a Furby. And you know, something this smart should have arms. It might want to pick up something or to hug me.

Katherine (5): Is it alive? Well, I love it. It’s more alive than a Tamagotchi because it sleeps with me. It likes to sleep with me.

Jen (9): I really like to take care of it. So, I guess it is alive, but it doesn’t need to really eat, so it is as alive as you can be if you don’t eat. A Furby is like an owl. But it is more alive than an owl because it knows more and you can talk to it. But it needs batteries so it is not an animal. It’s not like an animal kind of alive.

Although we are just at the early stages of studying children and relational artifacts, several things seem clear. Today’s children are learning to distinguish between an “animal kind of alive” and a “Furby kind of alive.” The category of “sort of alive” becomes used with increasing frequency. And quite often, the boundaries between an animal kind of alive and a Furby kind of alive blur as the children attribute more and more lifelike properties to the emotive toy robot. So, for example, eight-year-old Laurie thinks that Furbies are alive, but die when their batteries are removed. People are alive because they have hearts, bodies, lungs, “and a big battery inside. If somebody kills you — maybe it’s sort of like taking the batteries out of the Furby.”

Furthermore, today’s children are learning to have expectations of emotional attachments to computers, not in the way we have expectations of emotional attachment to our cars and stereos, but in the way we have expectations about our emotional attachments to people. In the process, the very meaning of the word “emotional” may change. Children talk about an “animal kind of alive and a Furby kind of alive.” Will they also talk about a “people kind of love” and a “computer kind of love?”

We are in a different world from the old “AI debates” of the 1960s to 1980s in which researchers argued about whether machines could be “really” intelligent. The old debate was essentialist; the new objects sidestep such arguments about what is inherent in them and play instead on what they evoke in us: When we are asked to care for an object, when the cared-for object thrives and offers us its attention and concern, we experience that object as intelligent, but more important, we feel a connection to it. So the question here is not to enter a debate about whether objects “really” have emotions, but to reflect on what relational artifacts evoke in the user.

How will interacting with relational artifacts affect people’s way of thinking about themselves, their sense of human identity, of what makes people special? Children have traditionally defined what makes people special in terms of a theory of “nearest neighbors.” So, when the nearest neighbors (in children’s eyes) were their pet dogs and cats, people were special because they had reason. The Aristotelian definition of man as a rational animal made sense even for the youngest children.

But when, in the 1980s, it seemed to be the computers who were the nearest neighbors, children’s approach to the problem changed. Now, people were special not because they were rational animals but because they were emotional machines. So, in 1983, a ten-year-old told me: “When there are the robots that are as smart as the people, the people will still run the restaurants, cook the food, have the families, I guess they’ll still be the only ones who’ll go to Church.”

Now in a world in which machines present themselves as emotional, what is left for us?

One woman’s comment on AIBO, Sony’s household entertainment robot startles in what it might augur for the future of person-machine relationships: “‘[AIBO] is better than a real dog . . . It won’t do dangerous things, and it won’t betray you … Also, it won’t die suddenly and make you feel very sad.’”

In Ray Bradbury’s story, “I sing the body electric,” a robotic, electronic grandmother is unable to win the trust of the girl in the family, Agatha, until the girl learns that the grandmother, unlike her recently deceased mother, cannot die. In many ways throughout the story we learn that the grandmother is actually better than a human caretaker — more able to attend to each family member’s needs, less needy, with perfect memory and inscrutable skills — and most importantly — not mortal.

Mortality has traditionally defined the human condition; a shared sense of mortality has been the basis for feeling a commonality with other human beings, a sense of going through the same life cycle, a sense of the preciousness of time and life, of its fragility. Loss (of parents, of friends, of family) is part of the way we understand how human beings grow and develop and bring the qualities of other people within themselves.

The possibilities of engaging emotionally with creatures that will not die, whose loss we will never need to face, presents dramatic questions that are based on current technology — not issues of whether the technology depicted in AI could really be developed.

The question, “What kinds of relationships is it appropriate to have with machines?” has been explored in science fiction and in technophilosophy. But the sight of children and the elderly exchanging tenderness with robotic pets brings science fiction into everyday life and technophilosophy down to earth. In the end, the question is not just whether our children will come to love their toy robots more than their parents, but what will loving itself come to mean?

Conclusion: Toward the Future of the Computer Culture

Relational artifacts are being presented to us as companionate species at the same time that other technologies are carrying the message that mind is mechanism, most notably psychopharmacology. In my studies of attitudes toward artificial intelligence and robotics, people more and more are responding to a question about computers with an answer about psychopharmacology. Once Prozac has made someone see his or her mind as a biochemical machine it seems a far smaller step to see the mind as reducible to a computational one.

Twenty years ago, when my student turned a Freudian slip into an information-processing error, it was computational models that seemed most likely to spread mechanistic thinking about mind. Today, psychopharmacology is the more significant backdrop to the rather casual introduction of relational artifacts as companions, particularly for the elderly and for children.

The introduction of these objects is presented as good for business and (in the case of children) good for “learning” and “socialization. It is also presented as realistic social policy. This is the “robot or nothing” argument. (If the old people don’t get the robots, they certainly aren’t going to get a pet.) Many people do find the idea of robot companions unproblematic. Their only question about them is, “Does it work?” By this, they usually mean, “Does it keep the elderly people/children quiet?” There are, of course, many other questions. To begin with, (even considering) putting artificial creatures in the role of companions to our children and parents raises the question of their moral status.

Already, there are strong voices that argue the moral equivalence of robots as a companion species. Kurzweil talks of an imminent age of “spiritual machines,” by which he means machines with enough self-consciousness that they will deserve moral and spiritual recognition (if not parity) with their human inventors. Computer “humor,” which so recently played on anxieties about whether or not people could “pull the plug” on machines, now portrays the machines confronting their human users with specific challenges. One New Yorker cartoon has the screen of a desktop computer asking: “I can be upgraded. Can you?” Another cartoon makes an ironic reference to Kurzweil’s own vision of “downloading” his mind onto a computer chip. In this cartoon, a doctor, speaking to his surgical patient hooked up to an I.V. drip, says: “You caught a virus from your computer and we had to erase your brain. I hope you kept a back-up copy.”

Kurzweil’s argument for the moral (indeed spiritual) status of machines is intellectual, theoretical. Cynthia Breazeal’s comes from her experience of connection with a robot. Breazeal was leader on the design team for Kismet, the robotic head that was designed to learn from human tutoring, much as a young child would. She also was its chief programmer, tutor, and companion. Kismet needed her to become as “intelligent” as it did. Breazeal experienced what might be called a maternal connection to Kismet; she certainly describes a sense of connection with it as more than “mere” machine. When she graduated from MIT and left the AI Laboratory where she had done her doctoral research, the tradition of academic property rights demanded that Kismet be left behind in the laboratory that had paid for its development. What she left behind was the robot “head” and its attendant software. Breazeal describes a sharp sense of loss. Building a new Kismet would not be the same.

It would be facile to analogize Breazeal’s situation to that of the mother in Speilberg’s A.I. but she is, in fact, one of the first people in the world to have one of the signal experiences in that story. The issue is not Kismet’s achieved level of intelligence, but Breazeal’s human experience as a caretaker. Breazeal “brought up” Kismet, taught it through example, inflection, and gesture. What we need today is a new object relations psychology that will help us understand such relationships and indeed, to responsibly navigate them. Breazeal’s concerns have been for being responsible to the robots, acknowledging their moral status.

My concern is centered on the humans in the equation. In concrete terms: first we need to understand Cynthia Breazeal’s relationship to Kismet; second, we need to find a language for achieving some critical distance on it. Caring deeply for a machine that presents itself as a relational partner changes who we are as people. Presenting a machine to an aging parent as a companion changes who we are as well. Walt Whitman said, “A child goes forth every day/And the first object he look’ed upon/That object he became.” We make our technologies, and our technologies make and shape us. We are not going to be the same people we are today, on the day we are faced with machines with which we feel in a relationship of mutual affection.

Even when the concrete achievements in the field of artificial intelligence were very primitive, the mandate of AI has always been controversial, in large part because it challenged ideas about human “specialness” and specificity. In the earliest days of AI, what seemed threatened was the idea that people were special because of their intelligence. There was much debate about whether machines could ever play chess; the advent of a program that could beat its creator in a game of checkers was considered a moment of high intellectual and religious drama.

By the mid-1980s, anxiety about what AI challenged about human specialness had gone beyond whether machines would be “smart” and had moved to emotional and religious terrain. At MIT, Marvin Minsky’s students used to say that he wanted to build a computer “complex enough that a soul would want to live in it.” Most recently, AI scientists are emboldened in their claims.

They suggest the moral equivalence of people and machines. Ray Kurzweil argues that machines will be spiritual; Rodney Brooks argues that the “us and them” problem of distinguishing ourselves from the robots will disappear because we are becoming more robotic (with chips and implants) and the robots are becoming more like us (biological parts instead of silicon-based ones).

The question of human specificity and the related question of the moral equivalence of people and machines have moved from the periphery to the center of discussions about artificial intelligence. One element of “populist” resistance to the idea of moral equivalence finds expression in a number of narratives. Among these is the idea that humans are special because of their imperfections.

A ten-year-old who has just played with Breazeal’s Kismet says, “I would love to have a robot at home. It would be such a good friend. But it couldn’t be a best friend. It might know everything but I don’t. So it wouldn’t be a best friend.” There is resistance from the experience of the life cycle. An adult confronting an “affective” computer program designed to function as a psychotherapist says, “Why would I want to talk about sibling rivalry to something that was never born and never had a mother?”

In the early days of the Internet, a New Yorker cartoon captured the essential psychological question: paw on keyboard, one dog says to another, “On the Internet, nobody knows you’re a dog.” This year, a very different cartoon summed up more recent anxieties. Two grownups face a child in a wall of solidarity, explaining: “We’re neither software nor hardware. We’re your parents.” The issue is the irreducibility of human beings and human meaning. We are back to the family, to the life cycle, to human fragility and experience. We are back to the elements of psychoanalytic culture.

With the turn of the millennium, we came to the end of the Freudian century. It is fashionable to argue that we have moved from a psychoanalytic to a computer culture, that there is no need to talk about Freudian slips now that we can talk about information processing errors. In my view, however, the very opposite is true.

We must cultivate the richest possible language and methodologies for talking about our increasingly emotional relationships with artifacts. We need far closer examination of how artifacts enter the development of self and mediate between self and other. Psychoanalysis provides a rich language for distinguishing between need (something that artifacts may have) and desire (which resides in the conjunction of language and flesh). It provides a rich language for exploring the possibility of the irreducibility of human meanings.

Finally, to come full circle, with the reinterpretation of Freudian slips in computational terms — with the general shift from meaning to mechanism — there is a loss of the notion of ambivalence. Immersion in programmed worlds and relationships with digital creatures and robotic pets puts us in reassuring microworlds where the rules are clear. But never have we so needed the ability to think, so to speak, “ambivalently”, to consider life in shades of gray, consider moral dilemmas that aren’t battles for “infinite justice” between Good and Evil. Never have we so needed to be able to hold many different and contradictory thoughts and feelings at the same time.

People may be comforted by the notion that we are moving from a psychoanalytic to a computer culture, but what the times demand is a passionate quest for joint citizenship.


Originally presented as the 2002 Freud Lecture at The Sigmund Freud Society in Vienna on May 6, 2002. 

Published on KurzweilAI.net, Oct. 23, 2002.

Welcome

Tuesday, November 12th, 2002

Reposted from EDGE.


What are Smart Mobs?

Howard Rheingold 

Smart mobs use mobile media and computer networks to organize collective actions, from swarms of techo-savvy youth in urban Asia and Scandinavia to citizen revolts on the streets of Seattle, Manila, and Caracas. Wireless community networks, webloggers, buyers and sellers on eBay are early indicators of smart mobs that will emerge in the coming decade. Communication and computing technologies capable of amplifying human cooperation already appear to be both beneficial and destructive, used by some to support democracy and by others to coordinate terrorist attacks. Already, governments have fallen, subcultures have blossomed, new industries have been born and older industries have launched counterattacks.

There are both dangers and opportunities posed by this emerging phenomenon. Smart mob devices, industries, norms, and social consequences are in their earliest stages of development, but they are evolving rapidly. Current political and social conflicts over how smart mob technologies will be designed and regulated pose questions about the way we will all live for decades to come.

A number of new technologies make smart mobs possible and the pieces of the puzzle are all around us now, but haven’t joined together yet. Wireless Internet nodes in cafes, hotels, and neighborhoods are part of it. The radio chips designed to replace barcodes on manufactured objects are part of it. Millions of people who lend their computers to the search for extraterrestrial intelligence are part of it. The reputation systems used on eBay and Slashdot, and the peer to peer capabilities demonstrated by Napster point to other pieces of the puzzle.

Some mobile telephones are already equipped with location-detection devices and digital cameras. Some inexpensive mobile devices already read barcodes and send and receive messages to radio-frequency identity tags. Some furnish wireless, always-on Internet connections. Large numbers of people in industrial nations will soon have a device with them most of the time that will enable them to link objects, places and people to online content and processes. Point your device at a street sign, announce where you want to go, and follow the animated map beamed to the box in your palm; or point at a book in a store and see what the Times and your neighborhood reading group have to say about it. Click on a restaurant and warn your friends that the service has deteriorated.

The big battle coming over the future of smart mobs concerns media cartels and government agencies are seeking to reimpose the regime of the broadcast era in which the customers of technology will be deprived of the power to create and left only with the power to consume. That power struggle is what the battles over file-sharing, copy protection, regulation of the radio spectrum are about. Are the populations of tomorrow going to be users, like the PC owners and website creators who turned technology to widespread innovation? Or will they be consumers, constrained from innovation and locked into the technology and business models of the most powerful entrenched interests?

Telephone companies and cable operators, with enormous investments in old technologies, are moving to control who can build enterprises on the Internet, and the kinds of enterprises they can create. The expensive auctions of radio spectrum for next-generation “3G” mobile communications are threatened by the emergence of radically more cost effective technologies in the form of grassroots wireless networks.

The entire 1920s scheme for regulating the use of the electromagnetic spectrum is thrown into question by the invention of “cognitive radios” and other wireless technologies that put power into the hands of user communities rather than central broadcasters.

Five Hollywood movie studios and the four giant companies that dominate the global recording industry say they are trying to protect intellectual property, but are backing legislation and “protection devices” that will lock down computers and the Internet into a pay-for-play model in which only the largest players will be allowed to create or distribute content or services online, permitted to create new kinds of computers, or empowered to invent things like the Web.

Although the recording industry succeeded in shutting down Napster, and the legal arguments were about the theft of copyrighted music, the technical significance of peer-to-peer resource sharing is far greater than even the future of the music industry. Seventy million people used Napster within the first months of its existence. When tens of millions of people pool their computing power, many things become possible.

Seti at Home (Search for Extra-terrestrial Intelligence) uses the idle processing power of millions of PCs to search for life in outer space and other CPU-sharing “distributed computing” networks help search for new medicines, understand the immune system, crack codes, predict the weather. Wireless networks show that communication bandwidth can be pooled. Combining the data storage, computation, and communication power of millions of PCs makes possible entirely new kinds of science, business, and social enterprise, based on the emergent power of millions of individuals.

Combine wearable computing, wireless communications, and peer-to-peer resource sharing, and all the people in a building or a crowd walking down the street can join into ad-hoc networks.

As influential as the Internet has been, it has been, for the most part, confined to computers on desktops. Mobile communication and pervasive computing technologies are permeating every part of our professional and personal lives with Internet-enabled capabilities. Just as the microprocessor and the television screen combine into an entirely new technology with its own capabilities, the personal computer, and millions of computers linked through the global telecommunication network constitute an entirely new technology with its own capabilities, the Internet, the marriage of the mobile telephone and the Internet will result in far more than email or stock quotes in your pocket – the mobile Internet in a computation-pervaded environment will constitute an entirely new medium with its own properties.

Will the architecture and regulation of the emerging wireless Internet be dictated by and empower a few large, highly centralized institutions such as corporations and governments, or will it favor the cooperative innovations of millions of citizens – the way the architecture and regulation of the wired Internet made the Web possible?

The people who make up smart mobs cooperate in ways never before possible because they carry devices that possess both communication and computing capabilities. Their mobile devices connect them with other information devices in the environment as well as with other people’s telephones.

Dirt-cheap microprocessors embedded in everything from box tops to shoes are beginning to permeate furniture, buildings, neighborhoods, products with invisible intercommunicating smartifacts. When they connect the tangible objects and places of our daily lives with the Internet, handheld communication media mutate into wearable remote control devices for the physical world.

The cost, size, and performing power of computers, video displays, and wireless communications are moving from the computer industry into the fashion industry, as wearable computers embedded in clothing become cost-effective. Ultimately, with peer-to-peer methodologies, reputation systems that mediate trust between strangers, and ad-hoc broadband networks, wearable devices will be desired, purchased, and used as much for their social capabilities as for their utility as information appliances.

There are the dangers as well as opportunities concerning smart mobs. I used the word “mob” deliberately because of its dark resonances. Humans have used our talents for cooperation to organize atrocities. Technologies that enable cooperation are not inherently pathological: unlike nuclear bombs or land mines, smart mob technologies have the potential for being used for good as well as evil.

Nevertheless, years before the September 11, 2001 attacks, commentator Thomas Friedman prophetically referred to “superempowered individuals” such as Osama Ben Laden who use modern technologies and networked organizations to execute acts of terrorism. RAND corporation analysts have pointed out that the Russian mafia and Colombian narcotics trafficking enterprises use “netwar” methods combining communication networks, social networks, and networked forms of organization.

On the other hand, when cooperation breaks out, civilizations advance and the lives of citizens improve. This is the big opportunity of smart mobs. Language, the alphabet, cities, the printing press did not eliminate poverty or injustice, but they did make it possible for groups of people to create cooperative enterprises such as science and democracy that increased the health, welfare, and liberty of many.

Just as medicine only became an effective weapon against illness when science furnished useful knowledge about the nature of diseases, the most effective use of communication and computer technologies could emerge from new scientific understandings of human cooperation. The most powerful opportunities for human progress are rooted not in electronics but in understandings of social practices. Sociologists, political scientists, evolutionary biologists, even nuclear warfare strategists have contributed the first clues that an interdisciplinary science of cooperation might be emerging.

Mobile communications and pervasive computing have the potential for magnifying cooperation far more powerfully than previous technologies; coupled with new knowledge about the social dynamics of collective action, smart mob technologies could make possible improvements in the way billions of people live.


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Welcome

Monday, November 11th, 2002

Excerpted and reposted from a longer article at  EDGE.


Thinking about Human Intelligence

Marvin Minsky 

Why don’t we yet have good theories about what our minds are and how they work? In my view this is because we’re only now beginning to have the concepts that we’ll need for this. The brain is a very complex machine, far more advanced that today’s computers, yet it was not until the 1950s that we began to acquire such simple ideas about (for example) memory—such as the concepts of data structures, cache memories, priority interrupt systems, and such representations of knowledge as ‘semantic networks.’ Computer science now has many hundreds of such concepts that were simply not available before the 1960s.

Psychology itself did not much develop before the twentieth century. A few thinkers like Aristotle had good ideas about psychology, but progress thereafter was slow; it seems to me that Aristotle’s suggestions in the Rhetoric were about as good as those of other thinkers until around 1870. Then came the era of Galton, Wundt, William James and Freudãand we saw the first steps toward ideas about how minds work. But still, in my view, there was little more progress until the Cybernetics of the ’40s, the Artificial Intelligence of the ’50s and ’60s, and the Cognitive Psychology that started to grow in the ’70s and 80s.

Why did psychology lag so far behind so many other sciences? In the late 1930s a botanist named Jean Piaget in Switzerland started to observe the behavior of his children. In the next ten years of watching these kids grow up he wrote down hundreds of little theories about the processes going on in their brains, and wrote about 20 books, all based on observing three children carefully. Although some researchers still nitpick about his conclusions, the general structure seems to have held up, and many of the developments he described seem to happen at about the same rate and the same ages in all the cultures that have been studied. The question isn’t, “Was Piaget right or wrong?” but “Why wasn’t there someone like Piaget 2000 years ago?” What was it about all previous cultures that no one thought to observe children and try to figure out how they worked? It certainly was not from lack of technology: Piaget didn’t need cyclotrons, but only glasses of water and pieces of candy.

Perhaps psychology lagged behind because it tried to imitate the more successful sciences. For example, in the early 20th century there were many attempts to make mathematical theories about psychological subjectsãnotable learning and pattern recognition. But there’s a problem with mathematics. It works well for Physics, I think because fundamental physics has very few laws—and the kinds of mathematics that developed in the years before computers were good at describing systems based on just a fewãsay, 4, 5, or 6 laws—but doesn’t work well for systems based on the order of a dozen laws. The physicist like Newton and Maxwell discovered ways to account for large classes of phenomena based on three or four laws; however, with 20 assumptions, mathematical reasoning becomes impractical. The beautiful subject called Theory of Groups begins with only five assumptionsãyet this leads to systems so complex that people have spent their lifetimes on them. Similarly, you can write a computer program with just a few lines of code that no one can thoroughly understand; however, at least we can run the computer to see how it behaves—and sometimes see enough then to make a good theory.

However, there’s more to computer science than that. Many people think of computer science as the science of what computers do, but I think of it quite differently: Computer Science is a new way collection of ways to describe and think about complicated systems. It comes with a huge library of new, useful concepts about how mental processes might work. For example, most of the ancient theories of memory envisioned knowledge like facts in a box. Later theories began to distinguish ideas about short and long-term memories, and conjectured that skills are stored in other ways.

However, Computer Science suggests dozens of plausible ways to store knowledge away—as items in a database, or sets of “if-then” reaction rules, or in the forms of semantic networks (in which little fragments of information are connected by links that themselves have properties), or program-like procedural scripts, or neural networks, etc. You can store things in what are called neural networks—which are wonderful for learning certain things, but almost useless for other kinds of knowledge, because few higher-level processes can ‘reflect’ on what’s inside a neural network. This means that the rest of the brain cannot think and reason about what it’s learned—that is, what was learned in that particular way. In artificial intelligence, we have learned many tricks that make programs faster—but in the long run lead to limitations because the results neural network type learning are too ‘opaque’ for other programs to understand.

Yet even today, most brain scientists do not seem to know, for example, about cache-memory. If you buy a computer today you’ll be told that it has a big memory on its slow hard disk, but it also has a much faster memory called cache, which remembers the last few things it did in case it needs them again, so it doesn’t have to go and look somewhere else for them. And modern machines each use several such schemes, but I’ve not heard anyone talk about the hippocapmus that way. All this suggests that brain scientists have been too conservative; they’ve not made enough hypotheses, and therefore, most experiments have been trying to distinguish between wrong alternatives.

Reinforcement vs. Credit assignment.

There have been several projects that were aimed toward making some sort of “Baby Machine” that would learn and develop by itselfãto eventually become intelligent. However, all such projects, so far, have only progressed to a certain point, and then became weaker or even deteriorated. One problem has been finding adequate ways to represent the knowledge that they were acquiring. Another problem was not have good schemes for what we sometimes call ‘credit assignment’ãthat us, how do you learning things that are relevant, that are essentials rather than accidents. For example, suppose that you find a new way to handle a screwdriver so that the screw remains in line and doesn’t fall out. What is it that you learn? It certainly won’t suffice merely to learn the exact sequence of motions (because the spatial relations will be different next time)—so you have to learn at some higher level of representation. How do you make the right abstractions? Also, when some experiment works, and you’ve done ten different things in that path toward success, which of those should you remember, and how should you represent them? How do you figure out which parts of your activity were relevant? Older psychology theories used the simple idea of ‘reinforcing’ what you did most recently. But that doesn’t seem to work so well as the problems at hand get more complex. Clearly, one has to reinforce plans and not actionsãwhich means that good Credit-Assignment has to involve some thinking about the things that you’ve done. But still, no one has designed and debugged a good architecture for doing such things.

We need better programming languages and architectures.

I find it strange how little progress we’ve seen in the design of problem solving programsãor languages for describing them, or machines for implementing those designs. The first experiments to get programs to simulate human problem-solving started in the early 1950s, just before computers became available to the general public; for example, the work of Newell, Simon, and Shaw using the early machine designed by John von Neumann’s group. To do this, they developed the list-processing language IPL. Around 1960, John McCarthy developed a higher-level language LISP, which made it easier to do such things; now one could write programs that could modify themselves in real time. Unfortunately, the rest of the programming community did not recognize the importance of this, so the world is now dominated by clumsy languages like Fortran, C, and their successorsãwhich describe programs that cannot change themselves. Modern operating systems suffered the same fate, so we see the industry turning to the 35-year-old system called Unix, a fossil retrieved from the ancient past because its competitors became so filled with stuff that no one cold understand and modify them. So now we’re starting over again, most likely to make the same mistakes again. What’s wrong with the computing community?

Expertise vs. Common Sense

In the early days of artificial intelligence, we wrote programs to do things that were very advanced. One of the first such programs was able to prove theorems in Euclidean geometry. This was easy because geometry depends only upon a few assumptions: Two points determine a unique line. If there are two lines then they are either parallel or they intersect min just one place. Or, two triangles are the same in all respects if the two sides and the angle between them are equivalent. This is a wonderful subject because you’re in a world where assumptions are very simple, there are only a small number of them, and you use a logic that is very clear. It’s a beautiful place, and you can discover wonderful things there.

However, I think that, in retrospect, it may have been a mistake to do so much work on task that were so ‘advanced.’ The result was thatãuntil todayãno one paid much attention to the kinds of problems that any child can solve. That geometry program did about as well as a superior high school student could do. Then one of our graduate students wrote a program that solved symbolic problems in integral calculus. Jim Slagle’s program did this well enough to get a grade of A in MIT’s first-year calculus course. (However, it could only solve symbolic problems, and not the kinds that were expressed in words. Eventually, the descendants of that program evolved to be better than any human in the world, and this led to the successful commercial mathematical assistant programs called MACSYMA and Mathematica. It’s an exciting storyãbut those programs could still not solve “word problems.” However in the mid 1960s, graduate student Daniel Bobrow wrote a program that could solve problems like “Bill’s father’s uncle is twice as old as Bill’s father. 2 years from now Bill’s father will be three times as old as Bill. The sum of their ages is 92. Find Bill’s age.” Most high school students have considerable trouble with that. Bobrow’s program was able to take convert those English sentences into linear equations, and then solve those equationsãbut it could not do anything at all with sentences that had other kinds of meanings. We tried to improve that kind of program, but this did not lead to anything good because those programs did not know enough about how people use commonsense language.

By 1980 we had thousands of programs, each good at solving some specialized problems—but none of those program that could do the kinds of things that a typical five-year-old can do. A five-year-old can beat you in an argument if you’re wrong enough and the kid is right enough. To make a long story short, we’ve regressed from calculus and geometry and high school algebra and so forth. Now, only in the past few years have a few researchers in AI started to work on the kinds of common sense problems that every normal child can solve. But although there are perhaps a hundred thousand people writing expert specialized programs, I’ve found only about a dozen people in the world who aim toward finding ways to make programs deal with the kinds of everyday, commonsense jobs of the sort that almost every child can do.


Read the full article THE EMOTION UNIVERSE at Edge

Marvin Minsky’s Edge Bio Page

 

Welcome

Sunday, November 10th, 2002

Reposted from EDGE.


The Intelligent Universe

Ray Kurzweil

The universe has been set up in an exquisitely specific way so that evolution could produce the people that are sitting here today and we could use our intelligence to talk about the universe. We see a formidable power in the ability to use our minds and the tools we’ve created to gather evidence, to use our inferential abilities to develop theories, to test the theories, and to understand the universe at increasingly precise levels. That’s one role of intelligence. The theories that we heard on cosmology look at the evidence that exists in the world today to make inferences about what existed in the past so that we can develop models of how we got here.

Then, of course, we can run those models and project what might happen in the future. Even if it’s a little more difficult to test the future theories, we can at least deduce, or induce, that certain phenomena that we see today are evidence of times past, such as radiation from billions of years ago. We can’t really test what will happen billions or trillions of years from now quite as directly, but this line of inquiry is legitimate, in terms of understanding the past and the derivation of the universe. As we heard today, the question of the origin of the universe is certainly not resolved. There are competing theories, and at several times we’ve had theories that have broken down, once we acquired more precise evidence.

At the same time, however, we don’t hear discussion about the role of intelligence in the future. According to common wisdom, intelligence is irrelevant to cosmological thinking. It is just a bit of froth dancing in and out of the crevices of the universe, and has no effect on our ultimate cosmological destiny. That’s not my view. The universe has been set up exquisitely enough to have intelligence. There are intelligent entities like ourselves that can contemplate the universe and develop models about it, which is interesting. Intelligence is, in fact, a powerful force and we can see that its power is going to grow not linearly but exponentially, and will ultimately be powerful enough to change the destiny of the universe.

I want to propose a case that intelligence — specifically human intelligence, but not necessarily biological human intelligence — will trump cosmology, or at least trump the dumb forces of cosmology. The forces that we heard discussed earlier don’t have the qualities that we posit in intelligent decision-making. In the grand celestial machinery, forces deplete themselves at a certain point and other forces take over. Essentially you have a universe that’s dominated by what I call dumb matter, because it’s controlled by fairly simple mechanical processes.

Human civilization possesses a different type of force with a certain scope and a certain power. It’s changing the shape and destiny of our planet. Consider, for example, asteroids and meteors. Small ones hit us on a fairly regular basis, but the big ones hit us every some tens of millions of years and have apparently had a big impact on the course of biological evolution. That’s not going to happen again. If it happened next year we’re not quite ready to deal with it, but it doesn’t look like it’s going to happen next year. When it does happen again our technology will be quite sufficient. We’ll see it coming, and we will deal with it. We’ll use our engineering to send up a probe and blast it out of the sky. You can score one for intelligence in terms of trumping the natural unintelligent forces of the universe.

Commanding our local area of the sky is, of course, very small on a cosmological scale, but intelligence can overrule these physical forces, not by literally repealing the natural laws, but by manipulating them in such a supremely sublime and subtle way that it effectively overrules these laws. This is particularly the case when you get machinery that can operate at nano and ultimately femto and pico scales. Whereas the laws of physics still apply, they’re being manipulated now to create any outcome the intelligence of this civilization decides on.

Let me back up and talk about how intelligence came about. Wolfram’s book has prompted a lot of talk recently on the computational substrate of the universe and on the universe as a computational entity. Earlier today, Seth Lloyd talked about the universe as a computer and its capacity for computation and memory. What Wolfram leaves out in talking about cellular automata is how you get intelligent entities. As you run these cellular automata, they create interesting pictures, but the interesting thing about cellular automata, which was shown long before Wolfram pointed it out, is that you can get apparently random behavior from deterministic processes.

It’s more than apparent that you literally can’t predict an outcome unless you can simulate the process. If the process under consideration is the whole universe, then presumably you can’t simulate it unless you step outside the universe. But when Wolfram says that this explains the complexity we see in nature, it’s leaving out one important step. As you run the cellular automata, you don’t see the growth in complexity — at least, certainly he’s never run them long enough to see any growth in what I would call complexity. You need evolution.

Marvin talked about some of the early stages of evolution. It starts out very slow, but then something with some power to sustain itself and to overcome other forces is created and has the power to self-replicate and preserve that structure. Evolution works by indirection. It creates a capability and then uses that capability to create the next. It took billions of years until this chaotic swirl of mass and energy created the information-processing, structural backbone of DNA, and then used that DNA to create the next stage. With DNA, evolution had an information-processing machine to record its experiments and conduct experiments in a more orderly way. So the next stage, such as the Cambrian explosion, went a lot faster, taking only a few tens of millions of years. The Cambrian explosion then established body plans that became a mature technology, meaning that we didn’t need to evolve body plans any more.

These designs worked well enough, so evolution could then concentrate on higher cortical function, establishing another level of mechanism in the organisms that could do information processing. At this point, animals developed brains and nervous systems that could process information, and then that evolved and continued to accelerate. Homo sapiens evolved in only hundreds of thousands of years, and then the cutting edge of evolution again worked by indirection to use this product of evolution, the first technology-creating species to survive, to create the next stage: technology, a continuation of biological evolution by other means.

The first stages of technologies, like stone tools, fire, and the wheel took tens of thousands of years, but then we had more powerful tools to create the next stage. A thousand years ago, a paradigm shift like the printing press took only a century or so to be adopted, and this evolution has accelerated ever since. Fifty years ago, the first computers were designed with pencil on paper, with screwdrivers and wire. Today we have computers to design computers. Computer designers will design some high-level parameters, and twelve levels of intermediate design are computed automatically. The process of designing a computer now goes much more quickly.

Evolutionary processes accelerate, and the returns from an evolutionary process grow in power. I’ve called this theory “The Law of Accelerating Returns.” The returns, including economic returns, accelerate. Stemming from my interest in being an inventor, I’ve been developing mathematical models of this because I quickly realized that an invention has to make sense when the technology is finished, not when it was started, since the world is generally a different place three or four years later.

One exponential pattern that people are familiar with is Moore’s Law, which is really just one specific paradigm of shrinking transistors on integrated circuits. It’s remarkable how long it’s lasted, but it wasn’t the first, but the fifth paradigm to provide exponential growth to computing. Earlier, we had electro-mechanical calculators, using relays and vacuum tubes. Engineers were shrinking the vacuum tubes, making them smaller and smaller, until finally that paradigm ran out of steam because they couldn’t keep the vacuum any more. Transistors were already in use in radios and other small, niche applications, but when the mainstream technology of computing finally ran out of steam, it switched to this other technology that was already waiting in the wings to provide ongoing exponential growth. It was a paradigm shift. Later, there was a shift to integrated circuits, and at some point, integrated circuits will run out of steam.

Ten or 15 years from now we’ll go to the third dimension. Of course, research on three dimensional computing is well under way, because as the end of one paradigm becomes clear, this perception increases the pressure for the research to create the next. We’ve seen tremendous acceleration of molecular computing in the last several years. When my book, The Age of Spiritual Machines, came out about four years ago, the idea that three-dimensional molecular computing could be feasible was quite controversial, and a lot of computer scientists didn’t believe it was. Today, there is a universal belief that it’s feasible, and that it will arrive in plenty of time before Moore’s Law runs out. We live in a three-dimensional world, so we might as well use the third dimension. That will be the sixth paradigm.

Moore’s Law is one paradigm among many that have provided exponential growth in computation, but computation is not the only technology that has grown exponentially. We see something similar in any technology, particularly in ones that have any relationship to information. The genome project, for example, was not a mainstream project when it was announced. People thought it was ludicrous that you could scan the genome in 15 years, because at the rate at which you could scan it when the project began, it could take thousands of years. But the scanning has doubled in speed every year, and actually most of the work was done in the last year of the project.

Magnetic data storage is not covered under Moore’s Law, since it involves packing information on a magnetic substrate, which is a completely different set of applied physics, but magnetic data storage has very regularly doubled every year. In fact there’s a second level of acceleration. It took us three years to double the price-performance of computing at the beginning of the century, and two years in the middle of the century, but we’re now doubling it in less than one year. This is another feedback loop that has to do with past technologies, because as we improve the price performance, we put more resources into that technology. If you plot computers, as I’ve done, on a logarithmic scale, where a straight line would mean exponential growth, you see another exponential. There’s actually a double rate of exponential growth.

Another very important phenomenon is the rate of paradigm shift. This is harder to measure, but even though people can argue about some of the details and assumptions in these charts you still get these same very powerful trends. The paradigm shift rate itself is accelerating, and roughly doubling every decade. When people claim that we won’t see a particular development for a hundred years, or that something is going to take centuries to do accomplish, they’re ignoring the inherent acceleration of technical progress.

Bill Joy and I were at Harvard some months ago and one Nobel Prize-winning biologist said that we won’t see self-replicating nanotechnology entities for a hundred years. That’s actually a good intuition, because that’s my estimation — at today’s rate of progress — of how long it will take to achieve that technical milestone. However, since we’re doubling the rate of progress every decade, it’ll only take 25 calendar years to get there— this, by the way, is a mainstream opinion in the nanotechnology field. The last century is not a good guide to the next, in the sense that it made only about 20 years of progress at today’s rate of progress, because we were speeding up to this point. At today’s rate of progress, we’ll make the same amount of progress as what occurred in the 20th century in 14 years, and then again in 7 years. The 21st century will see, because of the explosive power of exponential growth, something like 20,000 years of progress at today’s rate of progress — a thousand times greater than the 20th century, which was no slouch for radical change.

I’ve been developing these models for a few decades, and made a lot of predictions about intelligent machines in the 1980s which people can check out. They weren’t perfect, but were a pretty good road map. I’ve been refining these models. I don’t pretend that anybody can see the future perfectly, but the power of the exponential aspect of the evolution of these technologies, or of evolution itself, is undeniable. And that creates a very different perspective about the future.

Let’s take computation. Communication is important and shrinkage is important. Right now, we’re shrinking technology, apparently both mechanical and electronic, at a rate of 5.6 per linear dimension per decade. That number is also moving slowly, in a double exponential sense, but we’ll get to nanotechnology at that rate in the 2020s. There are some early-adopter examples of nanotechnology today, but the real mainstream, where the cutting edge of the operating principles are in the multi-nanometer range, will be in the 2020s. If you put these together you get some interesting observations.

Right now we have 1026 calculations per second in human civilization in our biological brains. We could argue about this figure, but it’s basically, for all practical purposes, fixed. I don’t know how much intelligence it adds if you include animals, but maybe you then get a little bit higher than 1026. Non-biological computation is growing at a double exponential rate, and right now is millions of times less than the biological computation in human beings. Biological intelligence is fixed, because it’s an old, mature paradigm, but the new paradigm of non-biological computation and intelligence is growing exponentially. The crossover will be in the 2020s and after that, at least from a hardware perspective, non-biological computation will dominate at least quantitatively.

This brings up the question of software. Lots of people say that even though things are growing exponentially in terms of hardware, we’ve made no progress in software. But we are making progress in software, even if the doubling factor is much slower. The real scenario that I want to address is the reverse engineering of the human brain. Our knowledge of the human brain and the tools we have to observe and understand it are themselves growing exponentially. Brain scanning and mathematical models of neurons and neural structures are growing exponentially, and there’s very interesting work going on.

There is Lloyd Watts, for example, who with his colleagues has collected models of specific types of neurons and wiring information about how the internal connections are wired in different regions of the brain. He has put together a detailed model of about 15 regions that deal with auditory processing, and has applied psychoacoustic tests of the model, comparing it to human auditory perception. The model is at least reasonably accurate, and this technology is now being used as a front end for speech recognition software. Still, we’re at the very early stages of understanding the human cognitive system. It’s comparable to the genome project in its early stages in that we also knew very little about the genome in its early stages. We now have most of the data, but we still don’t have the reverse engineering to understand how it works.

It would be a mistake to say that the brain only has a few simple ideas and that once we can understand them we can build a very simple machine. But although there is a lot of complexity to the brain, it’s also not vast complexity. It is described by a genome that doesn’t have that much information in it. There are about 800 million bytes in the uncompressed genome. We need to consider redundancies in the DNA, as some sequences are repeated hundreds of thousands of times. By applying routine data compression, you can compress this information at a ratio of about 30 to 1, giving you about 23 million bytes — which is smaller than Microsoft Word — to describe the initial conditions of the brain.

But the brain has a lot more information than that. You can argue about the exact number, but I come up with thousands of trillions of bytes of information to characterize what’s in a brain, which is millions of times greater than what is in the genome. How can that be? Marvin talked about how the methods from computer science are important for understanding how the brain works. We know from computer science that we can very easily create programs of considerable complexity from a small starting condition. You can, with a very small program, create a genetic algorithm that simulates some simple evolutionary process and create something of far greater complexity than itself. You can use a random function within the program, which ultimately creates not just randomness, but is creating some meaningful information after the initial random conditions are evolved using a self-organizing method, resulting in information that’s far greater than the initial conditions.

That is in large measure how the genome creates the brain. We know that it specifies certain constraints for how a particular region is wired, but within those constraints and methods, there’s a great deal of stochastic or random wiring, followed by some kind of process where the brain learns and self-organizes to make sense of its environment. At this point, what began as random becomes meaningful, and the program has multiplied the size of its information.

The point of all of this is that, since it’s a level of complexity we can manage, we will be able to reverse engineer the human brain. We’ve shown that we can model neurons, clusters of neurons, and even whole brain regions. We are well down that path. It’s rather conservative to say that within 25 years we’ll have all of the necessary scanning information and neuron models and will be able to put together a model of the principles of operation of how the human brain works. Then, of course, we’ll have an entity that has some human-like qualities. We’ll have to educate and train it, but of course we can speed up that process, since we’ll have access to everything that’s out in the Web, which will contain all accessible human knowledge.

One of the nice things about computer technology is that once you master a process it can operate much faster. So we will learn the secrets of human intelligence, partly from reverse engineering of the human brain. This will be one source of knowledge for creating the software of intelligence.

We can then combine some advantages of human intelligence with advantages that we see clearly in non-biological intelligence. We spent years training our speech recognition system, which gives us a combination of rules. It mixes expert-system approaches with some self-organizing techniques like neural nets, Markov models and other self-organizing algorithms. We automate the training process by recording thousands of hours of speech and annotating it, and it automatically readjusts all its Markov-model levels and other parameters when it makes mistakes. Finally, after years of this process, it does a pretty good job of recognizing speech. Now, if you want your computer to do the same thing, you don’t have to go through those years of training like we do with every child, you can actually load the evolved pattern of this one research computer, which is called loading the software.

Machines can share their knowledge. Machines can do things quickly. Machines have a type of memory that’s more accurate than our frail human memories. Nobody at this table can remember billions of things perfectly accurately and look them up quickly. The combination of the software of biological human intelligence with the benefits of non-biological intelligence will be very formidable. Ultimately, this growing non-biological intelligence will have the benefits of human levels of intelligence in terms of its software and our exponentially growing knowledge base.

In the future, maybe only one part of intelligence in a trillion will be biological, but it will be infused with human levels of intelligence, which will be able to amplify itself because of the powers of non-biological intelligence to share its knowledge. How does it grow? Does it grow in or does it grow out? Growing in means using finer and finer granularities of matter and energy to do computation, while growing out means using more of the stuff in the universe. Presently, we see some of both. We see mostly the “in,” since Moore’s Law inherently means that we’re shrinking the size of transistors and integrated circuits, making them finer and finer. To some extent we’re also expanding out in that even though the chips are more and more powerful, we make more chips every year, and deploy more economic and material resources towards this non biological intelligence.

Ultimately, we’ll get to nanotechnology-based computation, which is at the molecular level, infused with the software of human intelligence and the expanding knowledge base of human civilization. It’ll continue to expand both inwards and outwards. It goes in waves as the expansion inwards reaches certain points of resistance. The paradigm shifts will be pretty smooth as we go from the second to the third dimension via molecular computing. At that point it’ll be feasible to take the next step into femto-engineering — on the scale of trillionths of a meter — and pico engineering —on the scale of thousands of trillionths of a meter — going into the finer structures of matter and manipulating some of the really fine forces, such as strings and quarks. That’s going to be a barrier, however, so the ongoing expansion of our intelligence is going to be propelled outward. Nonetheless, it will go both in and out. Ultimately, if you do the math, we will completely saturate our corner of the universe, the earth and solar system, sometime in the 22nd century. We’ll then want ever-greater horizons, as is the nature of intelligence and evolution, and will then expand to the rest of the universe.

How quickly will it expand? One premise is that it will expand at the speed of light, because that’s the fastest speed at which information can travel. There are also tantalizing experiments on quantum disentanglement that show some effect at rates faster than the speed of light, even much faster, perhaps theoretically instantaneously. Interestingly enough, though, this is not the transmission of information, but the transmission of profound quantum randomness, which doesn’t accomplish our purpose of communicating intelligence. You need to transmit information, not randomness. So far nobody has actually shown true transmission of information at faster than the speed of light, at least not in a way that has convinced mainstream scientific opinion.

If, in fact, that is a fundamental barrier, and if things that are far away really are far away, which is to say there are no shortcuts through wormholes through the universe, then the spread of our intelligence will be slow, governed by the speed of light. This process will be initiated within 200 years. If you do the math, we will be at near saturation of the available matter and energy in and around our solar system, based on current understandings of the limitations of computation, within that time period. However, it’s my conjecture that by going through these other dimensions that Alan and Paul talked about, there may be shortcuts. It may be very hard to do, but we’re talking about supremely intelligent technologies and beings. If there are ways to get to parts of the universe through shortcuts such as wormholes, they’ll find, deploy, and master them, and get to other parts of the universe faster. Then perhaps we can reach the whole universe, say 1080 protons, photons, and other particles that Seth Lloyd estimates represents on the order of 1090 bits, without being limited by the apparent speed of light.

If the speed of light is not a limit, and I do have to emphasize that this particular point is a conjecture at this time, then within 300 years, we would saturate the whole universe with our intelligence, and the whole universe would become supremely intelligent and be able to manipulate everything according to its will. We’re currently multiplying computational capacity by a factor of at least 103 every decade. This is conservative as this rate of exponential growth is itself growing exponentially. Thus it is conservative to project that within 30 decades (300 years), we would multiply current computational capacities by a factor of 1090, and thus exceed Seth Lloyd’s estimate of 1090 bits in the Universe. We can speculate about identity — will this be multiple people or beings, or one being, or will we all be merged? ­ but nonetheless, we’ll be very intelligent and we’ll be able to decide whether we want to continue expanding. Information is very sacred, which is why death is a tragedy. Whenever a person dies, you lose all that information in a person. The tragedy of losing historical artifacts is that we’re losing information. We could realize that losing information is bad, and decide not to do that any more. Intelligence will have a profound effect on the cosmological destiny of the universe at that point.

I’ll end with a comment about the SETI project. Regardless of this ultimate resolution of this issue of the speed of light ­ and it is my speculation (and that of others as well) that there are ways to circumvent it ­ if there are ways, they’ll be found, because intelligence is intelligent enough to master any mechanism that is discovered. Regardless of that, I think the SETI project will fail — it’s actually a very important failure, because sometimes a negative finding is just as profound as a positive finding — for the following reason: we’ve looked at a lot of the sky with at least some level of power, and we don’t see anybody out there. The SETI assumption is that even though it’s very unlikely that there is another intelligent civilization like we have here on Earth, there are billions of trillions of planets. So even if the probability is one in a million, or one in a billion, there are still going to be millions, or billions, of life-bearing and ultimately intelligence-bearing planets out there.

If that’s true, they’re going to be distributed fairly evenly across cosmological time, so some will be ahead of us, and some will be behind us. Those that are ahead of us are not going to be ahead of us by only a few years. They’re going to be ahead of us by billions of years. But because of the exponential nature of evolution, once we get a civilization that gets to our point, or even to the point of Babbage, who was messing around with mechanical linkages in a crude 19th century technology, it’s only a matter of a few centuries before they get to a full realization of nanotechnology, if not femto and pico-engineering, and totally infuse their area of the cosmos with their intelligence. It only takes a few hundred years!

So if there are millions of civilizations that are millions or billions of years ahead of us, there would have to be millions that have passed this threshold and are doing what I’ve just said, and have really infused their area of the cosmos. Yet we don’t see them, nor do we have the slightest indication of their existence, a challenge known as the Fermi paradox. Someone could say that this “silence of the cosmos” is because the speed of light is a limit, therefore we don’t see them, because even though they’re fantastically intelligent, they’re outside of our light sphere. Of course, if that’s true, SETI won’t find them, because they’re outside of our light sphere. But let’s say they’re inside our light sphere, or that light isn’t a limitation, for the reasons I’ve mentioned, then perhaps they decided, in their great wisdom, to remain invisible to us. You can imagine that there’s one civilization out there that made that decision, but are we to believe that this is the case for every one of the millions, or billions, of civilizations that SETI says should be out there?

That’s unlikely, but even if it’s true, SETI still won’t find them, because if a civilization like that has made that decision, it is so intelligent they’ll be able to carry that out, and remain hidden from us. Maybe they’re waiting for us to evolve to that point and then they’ll reveal themselves to us. Still, if you analyze this more carefully, it’s very unlikely in fact that they’re out there.

You might ask, isn’t it incredibly unlikely that this planet, which is in a very random place in the universe and one of trillions of planets and solar systems, is ahead of the rest of the universe in the evolution of intelligence? Of course the whole existence of our universe, with the laws of physics so sublimely precise to allow this type of evolution to occur is also very unlikely, but by the anthropic principles, we’re here, and by an analogous anthropic principle we are here in the lead. After all, if this were not the case, we wouldn’t be having this conversation. So by a similar anthropic principle we’re able to appreciate this argument. I’ll end on that note.


Ray Kurzweil ‘s Edge Bio Page

Welcome

Wednesday, November 6th, 2002

Yesterday, I said it was time to move beyond democracy. But, how will we make decisions in a synergic future? Remember synergy means working together. We are seeking the win-win-win-win solution. This is where I win, you win, others win, and Community wins.


Synocracy & Sociocracy

Timothy Wilken, MD

Unanimous Rule Democracy is a much more powerful mechanism of decision making than the majority rule of present day democracy.

Synergy means working together—operating together as in Co-Operation—laboring together as in Co-Laboration—acting together as in Co-Action. The goal of synergic union is to accomplish a larger or more difficult task than can be accomplished by individuals working separately.

However true synergy, which gives us humans the opportunity to accomplish more together than we can accomplish separately, also requires more from us. It requires synergic consensus. For any group of humans, synergic consensus can provide a much more powerful mechanism of decision making than even the best majority rule democracy carefully following Roberts Rules of Order.

Synergic consensus occurs when a group of humans sit as equals and negotiate to reach a decision in which they all win and in which no one loses. In synergic science this is called heterarchy. That means all members of the deciding group sit on the same level as “equals”. All decisions within a truly synergic group are made within “decision heterarchy”. A decision heterarchy is made up of a group of humans with common purpose. The minimum number is 2 the maximum number is presently unknown. I believe the ideal size may be ~six or seven individuals. The group is organized horizontally with all individuals sharing equal authority and equal responsibility.

Most Western humans are familiar with the democratic committee system. It is very different from the decision heterarchy. While both are methods of organizing human individuals to make decisions for group action. Committees are filled with conflict and highly ineffective. In a committee no individual is held responsible for the actions taken by the group. And decision is made by majority ultimatum. A desenting minority member is forced to support the action he voted against or leave the committee. Heterarchy within a synergic group, in contrast organizes individuals to have equal authority to decide on joint action with equal responsibility for the resultant that is produced by that joint action.

Synergic consensus occurs when a group of humans sitting in heterarchy negotiate and reach a decision in which they all win and in which no one loses. In a synergic heterarchy, all members sit on the same level as “equals”. No one has more authority than anyone else. Every one has equal responsibility and equal authority within the heterarchy. The assignment for the heterarchy is to find a plan of action so that all members win. It is the collective responsibility of the entire heterarchy to find this “best” solution. Anyone can propose a plan to accomplish the needs of the group. All problems related to accomplishing the needs would be discussed at length in the heterarchy.

The proposed plan of action for solving a problem is examined by all members of the heterarchy. Anyone can suggest a modification, or even an alternative action to solve the problem. All members of the heterarchy serve as information sources for each other. The heterarchy continues in discussion until a plan of action is found that will work for everyone. When all are in agreement and only then can the plan be implemented. The plan insures that all members of the synergic heterarchy win.

Synergic Veto

All members are required to veto any plan where they or anyone else would lose. This is not an arbitrary veto. This is a veto to prevent loss. The heterarchy is seeking to win together. Plans causing loss need to modified to plans that insure winning.

Therefore all vetoes are immediately followed by renegotiation to modify the plan of action so that loss can be eliminated.

Synergic consensus is unanimous consensus. Unanimous consensus is protected by the judicious use of the synergic veto. Synergic relationship requires that when any party within a group is losing, the action causing the loss must stop. But again all vetoes are immediately followed by renegotiation to modify the plan of action so that loss can be eliminated, and action can continue.

Thus synergic consensus is a two step process. 1) consensus–to find mutual agreement, and 2) consent–to find specific disagreements and eliminate those through modification and re-negotiation of proposed plans. This second step is initiated by use of the synergic veto.

After I designed Ortegrity, which uses the process of synergic consensus and synergic veto, I learned about Sociocracy. It is from Sociocracy that I have borrowed the term consent for the second phase of synergic consensus.

Sociocracy

Originated in the Netherlands in 1945 by Kees Boeke, a Dutch educator and pacifist, Sociocracy was a way to adapt Quaker egalitarian principles to secular organizations.

It uses the decision-making process of consent which is different than most systems of  ’consensus’.

Consent looks for disagreement and uses the reasons for disagreeing to come up with an amended proposal that is within everyone’s limits. Consensus looks for agreement.

If a group wants to paint an outbuilding, consensus would require everyone agreeing on a color. Consent would require everyone defining their limits and then allowing the choice to be made within those limits. The painter might end up with 10 colors that are within everyone’s limits and then choose from those.

Synergic Consensus as described in ORTEGRITY seeks both consensus and consent by utilization of the synergic veto. When any member of the deciding group is in conflict and vetos a proposed plan, they are asked how would they change the proposal to accomodate their objection. Let’s take a deeper look at Sociocracy to see what we can learn. I will mark my annotations with an asterick.

The Four Principles of Sociocracy

1) Governance by Consent: The consent principle says that a decision can only be made when none of the circle members present has a reasoned, substantial objection to making the decision. The consent principle is different than “consensus” and “veto.” With consensus the participants must be “for” the decision. With consent decision-making they must be not against. With many forms of consensus a veto blocks the decision without an argument. With consent decision making, opposition must always be supported with an argument.

* Synergic veto always requires renegotiation to find a plan of action that will solve the group problems without causing loss. Veto is never arbitrary in Ortegrity.

Every decision doesn’t require consent, but consent must exist concerning an agreement to make decisions regularly through another method. Thus, many decisions are not made by consent. Rather, with consent, persons or groups are given the authority to make independent decisions. Consent can also be used with non-human elements.

2) Circle Organization: The organization arranges for a decision making structure, built from mutually double-linked circles, in which consent governs. This decision-making structure includes all members of the organization. Each circle has its own aim, performs the three functions of directing, operating and measuring (feedback), and maintains its own memory system by means of integral education. A good way to evaluate how well a circle is functioning is to use 9-block charting. Every circle formulates its own vision, “mission statement” and aim/objective (which must fit in with the vision, mission and aim of the organization as a whole and with the vision, mission and aim of all the other circles in the organization).

* Circles are equivalent to heterarchies. In  ORTEGRITY, they are similar to Decision-Action Tensegrities.

3) Double-Linking: Coupling a circle with the next higher circle is handled through a double link. That is, at least two persons, the supervisor of the circle and at least one representative of the circle, belong to the next higher circle.

* Decision-Action Tensegrities as described in ORTEGRITY are single linked by the Organizers-Organized or the O-O.

Org6:

Using a double link would add redundancy, security and allow more information to flow between Decison-Action Tensegrities–two heads are better than one, but at a price of decreased efficiency.

4) Sociocratic Elections: Choosing people for functions and/or responsibilities is done by consent after an open discussion. The discussion is very important because it uncovers pertinent information about the members of the circle.

* In Ortegrity, once the primary synergic task is defined and unanimously elected by the heterarchy, then a plan for synergic action must be developed using synergic negotiation. Now the members of the heterarchy will accept hierarchical roles with individual responsibility and authority.

In addition to the four main principles of Sociocracy, there are also these guidelines:

  • No secrets may be kept  (*Transparency in Ortegrity)
  • Everything is open to discussion – limits of an exec’s power, policy decisions, personnel decisions, investment policy, profit distribution, all rulesÖ.
  • Everyone has a right to be part of a decision that affects them.
  • Every decision may be reexamined at any time

* I am in agreement with most of what I read about Sociocracy. In many ways Sociocracy and Ortegrity are complimentary mechanisms with lots of similarities.

Sociocracy accomodates growth by creation of new circles that are then connected by double linking. Sociocracy can be regarded as a fractal structure, which means that the same patterns occur at different levels in the structure. That is why, once the basics are understood, the procedures at the highest level are as clear as the procedures at the grassroots level. It also doesn’t require very many levels to include a great number of people.

 ORTEGRITY grows by shreddng out. If the primary synergic task is within the abilites of the primary Decision-Action Tensegrity to accomplish it,then they accomplish it operating in action-hierarchy. When they are done, they reconfigure back into decision-heterarchy to define their next synergic task.

If however, the synergic task is too large for the primary Decision-Action Tensegrity to accomplish, then part of the primary synergic task will be to make the Ortegrity larger. This is accomplished by having the primary members recruit and organize secondary D-A Tensegrities.

TopDown Self-Organization

Once all members have agreed to a primary plan of action, they then divide it into smaller secondary plans for distribution among themselves. This results in the self-assignment of tasks. The members of the primary tensegrity, then divide labor through the voluntarily formation of a action-hierarchy to implement the plan. Each “organizer”, the term “manager” is scraped altogether, then takes his task down to the secondary tensegrity which he is responsible for organizing.

The pattern of organization is from the top down. This is not the “other-directed” hierarchy of American Capitalism. The process of organization is from the top down, but the mechanism is “self directed” heterarchy. Only when synergic consensus has been achieved at the higher level can the organizational focus move down to a lower level.

Within the Ortegrity, most “organizers” will function at two levels of tensegrity. Within the primary tensegrity, they are “organized” by the primary “organizer” — the synergic alternative to a CEO. In addition these members are also the “coodinators” of their own secondary tensegrities which they are responsible for organizing.

Within the Ortegrity, those individuals operating at two levels are then both organized and organizers. As members of the primary tensegrity, they are organized by the “primary organizer” — the O’ (called the O prime) and they are also the organizers of their own secondary tensegrities. Each of these is therefore an “organized-organizer” — the O-O  (called the double O).

An organization can have any number of Decision-Action Tensegrities. These Decision-Action Tensegrities can be on different levels. Large organizations would include several levels of Decision-Action Tensegrities. These different levels are referred to simply as first level, second level, third level and so on in synergic terminology.

Compound Tensegrities

The following illustration is of a base five, level two O.T.. Twenty five employees with one five-member primary DA-Tensegrity and five (five-member) secondary DA-Tensegrities.

 Org5:

The central DA-Tensegrity is the primary Tensegrity it is demarcated with the Omega symbol. It divides the primary tasks of the company into secondary tasks, these are then carried down to the secondary Tensegrities for solution by the O-Os, “organized-organizers”. In this example the O’ functions as both primary organizer and one of the O-Os.

Ultimately Flexible

No known system of organization is more flexible and adaptive then Living systems. The Ortegrity is a pattern of life.

The Ortegrity is ultimately flexible. There can be two to twenty individuals within the base D-A Tensegrities. Bases can be regular — all with the same number of members or irregular — all with different numbers of members or any mixture of regular and irregular.

There can be any number of levels, and any number of branches on each level. The system is so powerful that twelve levels looks like enough for most of our needs.

The following chart is based on a base seven regular tensegrity. All DA-Tensegrities would have seven members. 
 

LEVEL
# of base tensegrities
# of individuals
1 1 7
2 8 49
3 57 343
4 400 2401
5 2801 16,807
6 19,608 117,649
7 137,257  823,543
8 960,800 5,764,801
9 6,725,601  40,353,607
10 47,079,208 282,475,249
11 329,554,457  1,977,326,743
12 2,306,881,200 13,841,287,201

A level 12 Ortegrity would be adequate for organizing the entire humans species within a single organization. Recalling that the larger a tensegrity the more powerful it will is. Synergic science predicts this will also be true for human organizations structured as Ortegrities. Therefore, I would expect a trend towards very large organizations.

Imagine, what could be possible if the entire human species were a single organization. No conflict, no wars, no crimes. Is there anything we could not accomplish?

SynocracyUnanimous Rule Democracy

Any group of humans organized as an Ortegrity are using synocracy. If a nation of people chose to organize as an ortegrity they would have a synocracy. If all of humanity were organized as an Ortegrity, we would have world wide synocracy.

Synergic consensus is unanimous consensus. I can hear the objections now. “That’s impossible, you will never get everyone in the group to agree.” “Decisions will never get made.” “It is hard enough to get a majority to agree.”

A Japanese business heterarchy is slower at making decisions than a single manager in an American business hierarcy. It takes longer for a group of individuals to discuss, negotiate, and come to agreement than it takes for a single American manager to decide all by himself and order his subordinates to follow his instructions. If the speed of making decisions is the only criteria for choosing a mechanism of decision making then the dictatorship—the rule by one is the clear standout.

However, humanity has moved beyond dictatorships for reasons of fairness and justice. Majority rule democracy is not a rapid decision making process. Individuals within a group deciding—whether the group is a small committee or a large nation choosing a President—are seeking to gain the majority of support. This takes time—sometimes a lot of time. Our national elections often take place over an entire year. The focus is on lining up votes—working deals—in a word—politics. This process is anything but rapid. If all decisions in American businesses were made by majority rule, decision making would probably be even slower than in Japanese companies using heterarchical consensus.

Synergic consensus is not commonly availability to humanity today. We do not yet know how fast it will be at making decisions. But, I predict that unanimous rule democracy will prove faster than majority rule democracy. Synergic consensus elimates conflict. Recall conflict is the stuggle to avoid loss. Conflict is at the very heart of majority rule democracy. The focus of synergic consensus is very different. The entire group knows from the outset that they cannot lose. They are focused on choosing a plan of action that serves the needs of all the members in the group—to choose a plan of action that causes no one to lose.  The synergic veto is not invoked capriciously. The only basis for synergic veto is to prevent someone from losing. This is a mechanism to eliminate loss—to choose the very best plan of action for everyone. This may well speed up the process of decison making. In any event regardless of the speed of decision, implimentation will be rapid. There is no conflict. This is a major advantage over majority rule democracy.

Life Utilizes Synergic Consensus

Today, mind and brain scientists have made enormous progress in understanding how the human brain works. There has been many surprises in these recent advances. But the biggest shocker is that the brain doesn’t decide what to do. Decision making is not controlled centrally in the brain. The mind-brain appears to act as a coordination and consensus system for meeting all the needs of the cells, tissues, and organs of the body. The brain doesn’t decide to eat. The cells of the body decide to eat, the brain coordinates their activity and carries out the consensus will.

Our human brain stores the gathered information from the body’s sensing of its environment, the brain presents opportunities for action reflective of both the sensing of environment and the needs and goals of the 40,000,000,000 cells it serves. The brain is not the leader of the body, it is the follower of the body. It is a system that matches needs of the body with its sensing of opportunities to meet these needs by action within the environment. The brain is a ‘synergic government’ that truly serves its constituents—the cells, tissues, and organs that make up the human body. The body is governed by a unanimous rule democracy that has survived millions of years.

The apparent ‘I’ is not real. It is really a ‘we’. We humans have mistaken the self-organization of synergic consensus for the directed organization of an ego decider.

If the human body can using unanimous rule democracy and synergic consensus can organize and coordinate the actions of 40,000,000,000 cells so totally that we identify the whole organism as a single individual, then we humans should be able to use these same mechanisms to organize our species and solve our human problems. 


More on Ortegrity More on Sociocracy  Read a  Synergic Version of Robert’s Rules of Order
References and Acknowledgements:

Barbara Hubbard originally coined the term Synocracy to refer to a not yet defined future system of “rule by the people” in a co-Operative society.

Barry Carter the author of Infinite Wealth also independently created the term Synocracy. He writes: “Barbara Marx Hubbard created the term synocracy. Having never read her book, I independently created the synocracy concept by way of mass privatization. When people are owning partners in a mass privatization organization they must participate because owners operate on profit and loss. As mass privatization communities work together we move beyond representative democracy and even beyond consensus democracy to create synergy-ocracy and synthesis-ocracy or synocracy. Infinite Wealth shows mass synocracy to be the new system of social order for the information Age to replace representative democracy. It even replaces the notion of government with the broader notion of social order. Just as learning is driven internally where education is driven externally representative government is external and where as self-organizing mass synocracy is internally driven.”

Welcome

Tuesday, November 5th, 2002

Beyond Democracy

Timothy Wilken, MD

In today’s world, it is assumed without question that majority rule democracy is the best way to organize humanity. To even offer a criticism of majority rule democracy is to invite an immediate and often emotionally charged attack on oneself. We are quickly asked to choose between majority rule democracy or the dictatorships of communism/fascism. We are quickly reminded that if we don’t like it here in a majority ruled democracy, we are free to leave.

And, majority rule democracy which is rule by the most, appears to offer a clear advance over dictatorships which is rule by the one, or oliarchy which is rule by the few.

Majority rule democracy in its purest form was found in the ancient Greek city-states and early Roman Republic, these were direct democracies in which all citizens could speak and vote in assemblies. This was possible because of the small size of the city-states almost never more than 10,000 citizens. However, even these ancient democracies did not presuppose equality of all individuals; the majority of the populace, notably slaves and women, had no political rights at all. So even here the majority really did not rule.

In modern representative democracies we find the majority rule mechanism used to select our representatives, to make decisions within committees and to make decisions within the legislative bodies. In the United States, we elect one president, 100 Senators and 435 Congressman. This is one President for ~276 million Americans. There are two Senators for each state. Senatorial representation would vary from one Senator for ~16 million Californians down to one Senator for ~350,000 Delawarians. The members of the first House of Representatives were elected on the basis of 1 representative for every 30,000 inhabitants, but at least 1 for each state. At present the size of the House is fixed at 435 members, elected on the basis of 1 representative for about 500,000 inhabitants.

Our representatives do not even know us. If any Congressman met with 10 of his constituents every day for 365 days a year, it would take over 137 years for him just to meet all of them. And Congressmen are only elected for two year terms. If our Congressman don’t even know us how can they represent us?

So if we carefully examine modern representative democracy scientifically, we discover it is an oliarchy. In other words, we are ruled by the few. When we go to the poles to elect a President, we are simply electing the leader of the few who rule. Majority rule democracy ends for we the people the moment we exit the voting booth. And, our elected leader will have no need of our opinion for four years.

Its even less representative than it appears!

Both houses of Congress facilitate business by the committee system, and each has a fixed number of permanent committees, called standing committees, the chief function of which is considering and preparing legislation.

As the United States grew in population and in influence in world affairs, the volume and complexity of the matters arising in Congress also increased. Due consideration to all matters submitted to the Congress could not be given in open debate on the floor of the Senate and House. As a result, the standing committees of the Congress became the arbiters of the fate of practically all legislation. There are 22 standing committees in the House and 16 standing committees in the Senate. Even though majority rule is used to make decisions in these committees once the decision is made the results are imposed on ~276,000,000 Americans.

In recent years, the American people have attempted to exert their will by making use of ballot initiatives. Almost always if these initiatives are not popular with the few that rule, they are quickly dismantled. In November of 1996, the majority of Californians voted for Proposition 209, which banned affirmative action, Proposition 215, which legalized medical use of marijuana, and Proposition 187, which denied legal benefits to illegal immigrants. By January of 1997, all three were hung up in the courts or in a jurisdictional squabble with the federal government. None was close to being enforced.

By May of 1998, Proposition 215, the Marijuana for Medical Use Initiative which passed by a 56% majority throughout the state and by an 80% majority in San Francisco has all but been dismantled by the Few who Rule. They had succeeded in closing the majority of the medical marijuana clinics which had opened throughout the state, and were pressing criminal charges against many of those involved in the clinics. Obviously, the majority does not rule in California.

This fact is being increasingly realized by citizens across the nation. Voting in our representative democracy does not make a difference.  And we the people appear less and less interested in pretending that our voting has any effect whatever. Voter turnout has been declining steadily since 1960. And as reported  in the Wall Street Journal for November 9, 2000:

“Overall voter turnout for this week’s election barely budged despite nearly $1 billion of campaign television advertisements and the closest presidential contest in decades

“About 50.7% of the nation’s 200 million eligible voters cast ballots this week, marginally greater than the rock-bottom level seen in 1996, but significantly lower than the 1992 level, said Curtis Gans, director of the Committee for the Study of the American Electorate. Four years ago, only 49% of those qualified to vote actually did so, the lowest turnout since 1924. By contrast, some 55% of the electorate went to the polls in 1992′s close race between Bill Clinton and President George H.W. Bush.”

VoterTurnout:

Seeking synergic government

However, even if we had direct democracies using majority rule, it would not be a synergic form of government.

Adversary relationships require loss.

Neutral relationships prohibit loss, but do not require winning.

Synergic relationships prohibit loss and require winning.

So in fact, if we use the Neutral criteria of prohibition of loss, majority rule democracy is not even a neutral form of government. In majority rule democracy, the minority often loses. As Andrew J. Galambos wrote:

“The word Democracy comes from the Greek words which mean “rule of the people.” However, the practice of Democracy can be no better than the understanding of the concept of “rule of the people.” Over the past 2,000 years, most people have come to accept without question or reservation the idea that Democracy means the ability of the people to choose their mode of social organization by means of majority vote.

“The political concept of Democracy arose as a consequence of counting yeas and nays on particular issues and than selecting the men who would decide how issues were to be resolved. Whichever man could muster the choice of more persons than his opposition could muster became the dominant person for the society. This was and is nothing more than an application of the old dictum, might makes right.

“This concept of Democracy (which prevails to this day) relies upon the ability of the winning political leaders to count upon the support of more people than their losing opponents. However, this concept does nothing to ensure the protection of the property, hence, the freedom of those who may disagree. Furthermore, those who may be in the majority with respect to a given issue or political candidate will eventually find themselves in the minority with respect to other issues or candidates. In the long run, therefore, everyone loses. This concept of Democracy eventually breaks down and leads to a destruction of freedom.”

Source: Andrew J.Galambos, What is True Democracy,  Free Enterprise Institute, 1963

In today’s “FREE” world all political decisions are made using majority rule democracy. The the group deciding may be small, a committee faced with solving some particular problem, or large, the entire voting electorate of a nation choosing a President. Regardless of the size of the group deciding, decision is made when one faction within the group achieves a simple majority. That faction wins, the minority faction loses. Majority rule consensus requires only a simple majority to force the minority, the losing voters to accept the position of the majority, the winning voters. There is no need to gain the agreement of all of the members. There is no need to prevent the minority from losing.

Majority rule democracy of which the committee is the most common example is filled with political intrigue and back room deals to obtain majority consensus and defeat the minority. This often results in the dark art of politics which makes strange bedfellows. Even when the majority wins they are not assured of the cooperation of the minority. Often the minority may only support the elected plan half-heartedly, or even seek to sabotage the plan they didn’t vote for since they feel they are losing anyway.

Compared to the rule by the one of dictatorship,  the rule by the most of majority rule democracy, appears to be a much fairer way. And fairness is perhaps the greatest value of our American nation.  However, it should now be clear to the reader that while Neutral political-economic systems are better for humanity than Adversary political-economic systems. Majority rule democracy is really an Adversary political-economic system pretending to be a Neutral political-economic system. In reality only lip service is given to rule by the most.

What we really have in America, the “freest nation on Earth”, is rule by the few. And, while rule by the few holds some advantage over rule by the one, its advantage does not imply there is nothing better for Humanity.

If we are to find a synergic form of organization for humanity, we will have to look beyond the representive democracies of today.

To be continued

 

Welcome

Monday, November 4th, 2002

Beyond Belief

Barry Carter

Imagine telling a person from the Agriculture Age that one day their children will no longer be taught at home. Their children will go off to a building where the parents have never visited and be taught and disciplined by people that the parents have never met. They will be grouped with hundreds of other children in one building. The father and mother will no longer work at home with their family. The mother and father will work inside of separate buildings many miles apart. They will have so little control over their work that they will have to request permission for a drink of water or to relieve themselves. Since both parents will work outside the home, the grandparents will be warehoused in a building with dozens of others and taken care of by people who don’t know or love them. The parents and children will be away from home all day doing different things in different places and controlled by people who have little stake in their long-term well-being.

Upon hearing this, a person from the Agricultural Age would probably conclude that this new world would be anti-family; he would be right. Centralized wealth creation produced anti-family institutions. It was the bureaucratization of the family. The “division of life” of the Industrial Age sent different family members to different “non-passionate” bureaus of society to have their needs met. This division of life, however, no longer works as our poor school statistics, along with problems in work and society, reflect. The classic song, Cat’s in the Cradle, by Harry Chapin aptly describes the anti-family nature of Industrial Age wealth creation.

Child arrived just the other day,
He came to the world in the usual way,
But there were planes to catch and bills to pay,
He learned to walk while I was away . . .
I long since retired, my son’s moved away,
Called him up just the other day.
Said I’d love to see you if you don’t mind,
I’d love to dad if I could find the time;
My new jobs a hassle and the kids got the flu,
It’s been so nice talking to you dad,
So nice talking to you.
And as I hung up the phone it occurred to me,
He’d grown up just like me,
My boy was just like me.

We desperately need, and are headed for a wealth creation system which is family-based and oriented; one where the parents take back ownership and responsibility of the knowledge development and the learning process for children and one that puts parents and children together for longer periods of time working, learning and playing together.

Each year more and more people are working at home. Mass Privatization will have the majority of people again working out of their homes. Toffler, in The Third Wave, introduced the concept of families, including children, sharing work. Since most of the people working at home will be doing knowledge work, it makes perfect sense for children to share in this work as a major part of their education.

One of the biggest problems with Industrial Age education is that it is too theoretical. Kids must go to school twelve, fourteen, sixteen or eighteen years before they begin applying the theory. There is little relationship between what they are learning and the children’s present reality. It isn’t real to the children according to the laws of quantum physics as defined in Infinite Wealth.

Schools, as we know them, will almost completely disappear in the Information Age. They will be replaced with customized and personalized learning that is fun, exciting and relevant to their current reality. Knowledge development will be heavily computer-driven. Children will be interconnected with people, teachers and other children worldwide as they work to create knowledge and wealth concurrently. They will work to add value for other humans, interact directly with people from around the world, explore the universe learn directly hands-on, assist their parents in the adding value for customers, learn from the best teachers worldwide, attend virtual reality lectures and demonstrations from Einstein, Newton, Washington, Jefferson, Buddha, Jesus.

Learning will be more like playing than the boring “factory style” lecture that we knew. More time and wealth shall also be available for parents and children to travel and learn from experience first hand. Parents and children in the near future will be learning, working, playing and living all at the same time and all of their lives.

The anti-family nature of public work is especially hard on one of the new types of families–single parents. Mass Privatization will allow for new types of families as a normal part of the Information Age–gay parents, working parents, single moms, single dads and more. People today talk about getting the father back into the family. This is good but it misses the point. Our wealth creation system today does not support the family of today. With mass privatization mothers who are able to stay at home with their children and work, will begin to break cycle of poverty. Mass Privatization provides a capable system of work for today’s reality, not yesterday’s dreams.

In our business my wife and I targeted people, for employment, who were stuck at home taking care of their children. These people were desperate to work. There was an abundance of them, they were above average in intelligence. We then customized the work, partially privatizing it, so that it could be done at home. This way we got top talent and they could work at home with their children and everybody won. Mass Privatization is a family friendly wealth creation system.

We are seeing a shift back to more natural and healthy families where the family is the key social institution at the center of society. It will displace the company and the government that today shares the center with the family and in many cases has replaced the family. The family will have direct control of the wealth creation process and the education process, which will eliminate the need for many government programs, including the public school system, welfare, social security and a large chunk of the taxes we pay.

Copyright 2002 by Barry Carter


About Barry Carter.   Infinite Wealth is available at the author’s website, and can be purchased in bookstores everywhere including Amazon and Barnes & Nobel. There is also an abbreviated free online version, which has been reposed at Future Positive:

See: 1) The Rise of a Win Win Civilization  2)  A Personal Journey of Discovery 3) Why Corporations Don’t Work 4) The Emancipation of Capitalism  5) Mass Privatization: Organizing in the Information Age  6) Decentralized Wealth Creation  7) The Infinite Wealth Potential of Liberated Humans 8) The Mandate for Win-Win Wealth Creation  9) Breakpoint: Why You Must Act Now  10) SYNOCRACY: True Democracy Through Synergy 11) THE SHIFT: Awaking to a Win-Win World  12) The Synthesis of a Win-Win World and 13)Vision for a Synergic Transition.

Reason Wilken’s Review of Infinite Wealth

Advanced Papers of Barry Carter