In this ground-breaking work, Allan Combs presents a wide-ranging survey of the nature and origins of consciousness research, viewing consciousness as a dynamic and self-organizing process with evolutionary potential. Combs reviews the work of evolutionary theorists such as Pierre Teilhard de Chardin, Ken Wilber, Jean Gebser, and Sri Aurobindo. What emerges is a fascinating study of consciousness that discloses itself as a rich and ongoing act of self-creation, poised at the edge of chaos between past and future.

Short version of 'Real materialism', given at Tucson III Conference, 1998. (1) physicalism is true (2) the qualitative character of experience is real, as most naively understood ... so (3) the qualitative character of experience (considered specifically as such) is wholly physical. ‘How can consciousness possibly be physical, given what we know about the physical?’ To ask this question is already to have gone wrong. We have no good reason (as Priestley and Russell and others observe) to think that we (...) know anything about the physical that gives us any reason to find any problem in the idea that consciousness is wholly physical. (shrink)

The story is told of a physicist who is invited by a dairy farmers’ association to tell them how to get more milk from cows. The physicist begins: ‘First we start with a spherical cow.’ That is told as a joke! Yet far more strange is what cognitivism has done to what is supposed to be the study of human thought and human life. This chapter is about concepts, the central building blocks of cognitivist theory. I will first show how (...) cognitivism necessarily cannot give an adequate treatment of concepts and will then, more importantly, outline the foundations for a new nonrepresentational view of concepts which should place the study of concepts on a real basis. (shrink)

In this classic work David Bohm, writing clearly and without technical jargon, develops a theory of quantum physics which treats the totality of existence as an unbroken whole.

Little, Brown, 1992 Review by Glenn Branch on Jul 5th 1999 Volume: 3, Number: 27.

We show that Bell inequalities can be violated in the macroscopic world. The macroworld violation is illustrated using an example involving connected vessels of water. We show that whether the violation of inequalities occurs in the microworld or the macroworld, it is the identification of nonidentical events that plays a crucial role. Specifically, we prove that if nonidentical events are consistently differentiated, Bell-type Pitowsky inequalities are no longer violated, even for Bohm's example of two entangled spin 1/2 quantum particles. We (...) show how Bell inequalities can be violated in cognition, specifically in the relationship between abstract concepts and specific instances of these concepts. This supports the hypothesis that genuine quantum structure exists in the mind. We introduce a model where the amount of nonlocality and the degree of quantum uncertainty are parameterized, and demonstrate that increasing nonlocality increases the degree of violation, while increasing quantum uncertainty decreases the degree of violation. (shrink)

We present a model that allows one to build structures that evolve continuously from classical to quantum, and we study the intermediate situations, giving rise to structures that are neither classical nor quantum. We construct the closure structure corresponding to the collection of eigenstate sets of these intermediate situations, and demonstrate how the superposition principle disappears during the transition from quantum to classical. We investigate the validity of the axioms of quantum mechanics for the intermediate situations.

We present a new approach to the old problem of how to incorporate the role of the observer in statistics. We show classical probability theory to be inadequate for this task and take refuge in the epsilon-model, which is the only model known to us caapble of handling situations between quantum and classical statistics. An example is worked out and some problems are discussed as to the new viewpoint that emanates from our approach.

We show that it is impossible in quantum mechanics to describe two separated physical systems. This is due to the mathematical structure of quantum mechanics. It is possible to give a description of two separated systems in a theory which is a generalization of quantum mechanics and of classical mechanics, in the sense that this theory contains both theories as special cases. We identify the axioms of quantum mechanics that make it impossible to describe separated systems. One of these axioms (...) is equivalent to the superposition principle. We show how these findings throw a different light on the paradox of Einstein, Podolsky, and Rosen. (shrink)

The mathematical theory of communication.

The debate over physicalism in philosophy of mind can be seen as concerning an inconsistent tetrad of theses: (1) if physicalism is true, a priori physicalism is true; (2) a priori physicalism is false; (3) if physicalism is false, epiphenomenalism is true; (4) epiphenomenalism is false. This paper argues that one may resolve the debate by distinguishing two conceptions of the physical: on the theory‐based conception, it is plausible that (2) is true and (3) is false; on the object‐based conception, (...) it is plausible that (3) is true and (2) is false. the paper also defends and explores the version of physicalism that results from this strategy. (shrink)

A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive models. The connectionist models considered are massively parallel numerical computational systems that are a kind of continuous dynamical system. The numerical variables in the system correspond semantically to fine-grained features below the level of the concepts consciously used to describe the task domain. The level of analysis is intermediate between those of symbolic cognitive models (...) and neural models. The explanations of behavior provided are like those traditional in the physical sciences, unlike the explanations provided by symbolic models. (shrink)

Distinctions have been proposed between systems of reasoning for centuries. This article distills properties shared by many of these distinctions and characterizes the resulting systems in light of recent findings and theoretical developments. One system is associative because its computations reflect similarity structure and relations of temporal contiguity. The other is "rule based" because it operates on symbolic structures that have logical content and variables and because its computations have the properties that are normally assigned to rules. The systems serve (...) complementary functions and can simultaneously generate different solutions to a reasoning problem. The rule-based system can suppress the associative system but not completely inhibit it. The article reviews evidence in favor of the distinction and its characterization. (shrink)

Understanding novel phrases (e.g. upside‐down daisy) and classifying objects in categories named by phrases ought to have common properties, but you'd never know it from current theories. The best candidate for both jobs is the Theory Theory, but it faces difficulties when theories are impoverished. A potential solution is a dual approach that couples theories (representations‐about categories) with fixed mentalese expressions (representations‐of categories). Both representations combine information in parallel when understanding phrases. Although there are objections to the notion that theories (...) can combine, some of them lose their force when applied to a suitable dual model. (shrink)

Death.--The absurd.--Moral luck.--Sexual perversion.--War and massacre.--Ruthlessness in public life.--The policy of preference.--Equality.--The fragmentation of value.--Ethics without biology.--Brain bisection and the unity of consciousness.--What is it like to be a bat?--Panpsychism.--Subjective and objective.

A comprehensive formal system is developed that amalgamates the operational and the realistic approaches to quantum mechanics. In this formalism, for example, a sharp distinction is made between events, operational propositions, and the properties of physical systems.

Much of the progress in the fields constituting cognitive science has been based upon the use of explicit information processing models, almost exclusively patterned after conventional serial computers. An extension of these ideas to massively parallel, connectionist models appears to offer a number of advantages. After a preliminary discussion, this paper introduces a general connectionist model and considers how it might be used in cognitive science. Among the issues addressed are: stability and noise‐sensitivity, distributed decision‐making, time and sequence problems, and (...) the representation of complex concepts. (shrink)

Group size is a function of relative neocortical volume in nonhuman primates. Extrapolation from this regression equation yields a predicted group size for modern humans very similar to that of certain hunter-gatherer and traditional horticulturalist societies. Groups of similar size are also found in other large-scale forms of contemporary and historical society. Among primates, the cohesion of groups is maintained by social grooming; the time devoted to social grooming is linearly related to group size among the Old World monkeys and (...) apes. To maintain the stability of the large groups characteristic of humans by grooming alone would place intolerable demands on time budgets. It is suggested that (1) the evolution of large groups in the human lineage depended on the development of a more efficient method for time-sharing the processes of social bonding and that (2) language uniquely fulfills this requirement. Data on the size of conversational and other small interacting groups of humans are in line with the predictions for the relative efficiency of conversation compared to grooming as a bonding process. Analysis of a sample of human conversations shows that about 60% of time is spent gossiping about relationships and personal experiences. It is suggested that language evolved to allow individuals to learn about the behavioural characteristics of other group members more rapidly than is possible by direct observation alone. (shrink)

This book proposes a new theory of the origins of human language ability and presents an original account of the early evolution of language. It explains why humans are the only language-using animals, challenges the assumption that language is a consequence of intelligence, and offers a new perspective on human uniqueness. The author draws on evidence from archaeology, linguistics, cognitive science, and evolutionary biology. Making no assumptions about the reader's prior knowledge he first provides an introductory but critical survey of (...) all sources of evidence for language evolution. He then considers what language itself reveals about its own and human origins and evolution. He shows that certain central aspects of language do not, unexpectedly, reflect what they are used for, are maladapted for their function. He considers why this should be, and argues that these odd aspects of language reveal important clues about its evolutionary origin. The Origins of Complex Language fulfils the promise of its title. In doing so it turns upside down conventional theories about the relation between cognition and expression, truth and reference, and the co-evolution of mind and body. Original in conception, brilliantly executed, stylishly written, this book will attract a wide range of readers interested in the evolution and origins of language. (shrink)

Examination of the fundamental nature of light in mankind's history, world, and life.

First published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.

Creativity is one of the least understood aspects of intelligence and is often seen as intuitive' and not susceptible to rational enquiry. Recently, however, there has been a resurgence of interest in the area, principally in artificial intelligence and cognitive science, but also in psychology, philosophy, computer science, logic, mathematics, sociology, and architecture and design. This volume brings this work together and provides an overview of this rapidly developing field. It addresses a range of issues. Can computers be creative? Can (...) they help us to understand human creativity? How can artificial intelligence (AI) enhance human creativity? How, in particular, can it contribute to the sciences of the artificial', such as design? Does the new wave of AI (connectionism, geneticism and artificial life) offer more promise in these areas than classical, symbol-handling AI? What would the implications be for AI and cognitive science if computers could not be creative? These issues are explored in five interrelated parts, each of which is introducted and explained by a leading figure in the field. - Prologue (Margaret Boden) - Part I: Foundational Issues (Terry Dartnall) - Part II: Creativity and Cognition (Graeme S. Halford and Robert Levinson) - Part III: Creativity and Connectionism (Chris Thornton) - Part IV: Creativity and Design (John Gero) - Part V: Human Creativity Enhancement (Ernest Edmonds) - Epilogue (Douglas Hofstadter) For researchers in AI, cognitive science, computer science, philosophy, psychology, mathematics, logic, sociology, and architecture and design; and anyone interested in the rapidly growing field of artificial intelligence and creativity. (shrink)

How is it possible to think new thoughts? What is creativity and can science explain it? And just how did Coleridge dream up the creatures of The Ancient Mariner? When The Creative Mind: Myths and Mechanisms was first published, Margaret A. Boden's bold and provocative exploration of creativity broke new ground. Boden uses examples such as jazz improvisation, chess, story writing, physics, and the music of Mozart, together with computing models from the field of artificial intelligence to uncover the nature (...) of human creativity in the arts. The second edition of The Creative Mind has been updated to include recent developments in artificial intelligence, with a new preface, introduction and conclusion by the author. It is an essential work for anyone interested in the creativity of the human mind. (shrink)

The book is an extended study of the problem of consciousness. After setting up the problem, I argue that reductive explanation of consciousness is impossible , and that if one takes consciousness seriously, one has to go beyond a strict materialist framework. In the second half of the book, I move toward a positive theory of consciousness with fundamental laws linking the physical and the experiential in a systematic way. Finally, I use the ideas and arguments developed earlier to defend (...) a form of strong artificial intelligence and to analyze some problems in the foundations of quantum mechanics. (shrink)

This volume argues in favor of rethinking basic issues in cognitive science in the context of recent developments.

David Ray Griffin develops a third form of realism, one that resolves the basic problem (common to dualism and materialism) of the continued acceptance of the Cartesian view of matter.

The author takes the reader on a tour that covers such topics as computers, evolution, Descartes, Schrodinger, and the nature of perception, language, and invididuality. He argues that biology provides the key to understanding the brain. Underlying his argument is the evolutionary view that the mind arose at a definite time in history. This book ponders connections between psychology and physics, medicine, philosophy, and more. Frequently contentious, Edelman attacks cognitive and behavioral approaches, which leave biology out of the picture, as (...) well as the currently fashionable view of the brain as a computer. (shrink)

Presenting the cultural and neuronal forces that power our distinctively human modes of awareness, the author proposes that the human mind is a hybrid product of interweaving a super-complex form of matter (the brain) with an invisible symbolic web (culture) to form a cognitive network. Reprint. 11,500 first printing.

A Nobel Prize-winning scientist and a leading brain researcher show how the brain creates conscious experience.

An essential work for anyone interested in the creativity of the human mind, "The Creative Mind" has been updated to include recent developments in artificial ...

According to Bickerton, the behavioral sciences have failed to give an adequate account of human nature at least partly because of the conjunction and mutual reinforcement of two widespread beliefs: that language is simply a means of communication and that human intelligence is the result of the rapid growth and unusual size of human brains. Bickerton argues that each of the properties distinguishing human intelligence and consciousness from that of other animals can be shown to derive straightforwardly from properties of (...) language. In essence, language arose as a representational system, not a means of communication or a skill, and not a product of culture but an evolutionary adaptation. The author stresses the necessity of viewing intelligence in evolutionary terms, seeing it not as problem solving but as a way of maintaining homeostasis - the preservation of those conditions most favorable to an organism, the optimal achievable conditions for survival and well-being. The term protolanguage is used to describe the stringing together of symbols that prehuman hominids employed. "It did not allow them to turn today's imagination into tomorrow's fact. But it is just this power to transform imagination into fact that distinguishes human behavior from that of our ancestral species, and indeed from that of all other species. It is exactly what enables us to change our behavior, or invent vast ranges of new behavior, practically overnight, with no concomitant genetic changes." Language and Human Behavior should be of interest to anyone in the behavioral and evolutionary sciences and to all those concerned with the role of language in human behavior. (shrink)

This paper presents a speculative model of the cognitive mechanisms underlying the transition from episodic to mimetic (or memetic) culture with the arrival of Homo erectus, which Donald [1991] claims paved the way for the unique features of human culture. The model draws on Kauffman's [1993] theory of how an information-evolving system emerges through the formation of an autocatalytic network. Though originally formulated to explain the origin of life, this theory also provides a plausible account of how discrete episodic memories (...) become woven into an internal model of the world, or worldview, that both structures, and is structured by, self-triggered streams of thought. Social interaction plays a role in (and may be critical to) this process. Implications for cognitive development are explored. (shrink)