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  1. Analog retrieval by constraint satisfaction.Paul Thagard, Keith J. Holyoak, Greg Nelson & David Gochfeld - 1990 - Artificial Intelligence 46 (3):259-310.
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  • Mental Algorithms: Are Minds Computational Systems?James H. Fetzer - 1994 - Pragmatics and Cognition 2 (1):1-29.
    The idea that human thought requires the execution of mental algorithms provides a foundation for research programs in cognitive science, which are largely based upon the computational conception of language and mentality. Consideration is given to recent work by Penrose, Searle, and Cleland, who supply various grounds for disputing computationalism. These grounds in turn qualify as reasons for preferring a non-computational, semiotic approach, which can account for them as predictable manifestations of a more adquate conception. Thinking does not ordinarily require (...)
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  • Cognition in the Wild.Edwin Hutchins - 1998 - Mind 107 (426):486-492.
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  • Language, Thought, and Other Biological Categories.Ruth Garrett Millikan - 1984 - Behaviorism 14 (1):51-56.
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  • Consciousness Explained.William G. Lycan - 1993 - Philosophical Review 102 (3):424.
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  • Cognition in the Wild.Edward Hutchins - 1995 - Critica 27 (81):101-105.
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  • Wonderful Life; The Burgess Shale and the Nature of History.Stephen Jay Gould - 1992 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 23 (2):359-360.
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  • From meta-processes to conscious access: Evidence from children's metalinguistic and repair data.Annette Karmiloff-Smith - 1986 - Cognition 23 (2):95-147.
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  • Constraints on representational change: Evidence from children's drawing.Annette Karmiloff-Smith - 1990 - Cognition 34 (1):57-83.
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  • Motives, mechanisms, and emotions.Aaron Sloman - 1987 - Cognition and Emotion 1 (3):217-233.
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  • Analogical Mapping by Constraint Satisfaction.Keith J. Holyoak & Paul Thagard - 1989 - Cognitive Science 13 (3):295-355.
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  • What is it like to be a bat?Thomas Nagel - 1979 - In Mortal questions. New York: Cambridge University Press. pp. 435 - 450.
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  • Meme and variations.Liane M. Gabora - unknown
    American Political Science Association Meeting, New Orleans, 1985. Belew, R. K. "E,volut,ioi1. Leariiing, and Culture: Computational Metaphors for Adaptive Algorithms? Complex Systems 4 (1990}: 11-49. Banner, J. T. The Evolution of Culture in Animals. Princeton, NJ: Princeton Univcrsitv Press. 1980.
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  • Epiphenomenal qualia.Frank Jackson - 1982 - Philosophical Quarterly 32 (April):127-136.
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  • Connectionism and cognitive architecture: A critical analysis.Jerry A. Fodor & Zenon W. Pylyshyn - 1988 - Cognition 28 (1-2):3-71.
    This paper explores the difference between Connectionist proposals for cognitive a r c h i t e c t u r e a n d t h e s o r t s o f m o d e l s t hat have traditionally been assum e d i n c o g n i t i v e s c i e n c e . W e c l a i m t h a t t h (...)
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  • Physical symbol systems.Allen Newell - 1980 - Cognitive Science 4 (2):135-83.
    On the occasion of a first conference on Cognitive Science, it seems appropriate to review the basis of common understanding between the various disciplines. In my estimate, the most fundamental contribution so far of artificial intelligence and computer science to the joint enterprise of cognitive science has been the notion of a physical symbol system, i.e., the concept of a broad class of systems capable of having and manipulating symbols, yet realizable in the physical universe. The notion of symbol so (...)
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  • Minds, brains, and programs.John Searle - 1980 - Behavioral and Brain Sciences 3 (3):417-57.
    What psychological and philosophical significance should we attach to recent efforts at computer simulations of human cognitive capacities? In answering this question, I find it useful to distinguish what I will call "strong" AI from "weak" or "cautious" AI. According to weak AI, the principal value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion. (...)
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  • What is it like to be a bat?Thomas Nagel - 1974 - Philosophical Review 83 (October):435-50.
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  • Induction: Processes of Inference, Learning, and Discovery.John H. Holland, Keith J. Holyoak, Richard E. Nisbett & Paul R. Thagard - 1988 - Behaviorism 16 (2):181-184.
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  • Précis of Beyond modularity: A developmental perspective on cognitive science.Annette Karmiloff-Smith - 1994 - Behavioral and Brain Sciences 17 (4):693-707.
    Beyond modularityattempts a synthesis of Fodor's anticonstructivist nativism and Piaget's antinativist constructivism. Contra Fodor, I argue that: (1) the study of cognitive development is essential to cognitive science, (2) the module/central processing dichotomy is too rigid, and (3) the mind does not begin with prespecified modules; rather, development involves a gradual process of “modularization.” Contra Piaget, I argue that: (1) development rarely involves stagelike domain-general change and (2) domainspecific predispositions give development a small but significant kickstart by focusing the infant's (...)
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  • Towards a Cognitive Theory of Emotions.Keith Oatley & P. N. Johnson-Laird - 1987 - Cognition and Emotion 1 (1):29-50.
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  • Laboratory Replication of Scientific Discovery Processes.Yulin Qin & Herbert A. Simon - 1990 - Cognitive Science 14 (2):281-312.
    Fourteen subjects were tape‐recorded while they undertook to find a law to summarize numerical data they were given. The source of the data was not identified, nor were the variables labeled semantically. Unknown to the subjects, the data were measurements of the distances of the planets from the sun and the periods of their revolutions about it—equivalent to the data used by Johannes Kepler to discover his third law of planetary motion.Four of the 14 subjects discovered the same law as (...)
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  • The cognizer's innards: A psychological and philosophical perspective on the development of thought.Andy Clark & Annette Karmiloff-Smith - 1993 - Mind and Language 8 (4):487-519.
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  • The structure-mapping engine: Algorithm and examples.Brian Falkenhainer, Kenneth D. Forbus & Dedre Gentner - 1989 - Artificial Intelligence 41 (1):1-63.
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  • The Language of Thought.Patricia Smith Churchland - 1975 - Noûs 14 (1):120-124.
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  • Before the Gates of Excellence: The Determinants of Creative Genius.R. Ochse - 1991 - British Journal of Educational Studies 39 (1):85-86.
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  • Human Cognitive Evolution: What We Were, What We Are Becoming.Merlin Donald - 1993 - Social Research: An International Quarterly 60:143-170.
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  • Dual Space Search During Scientific Reasoning.David Klahr & Kevin Dunbar - 1988 - Cognitive Science 12 (1):1-48.
    The purpose of the two studies reported here was to develop an integrated model of the scientific reasoning process. Subjects were placed in a simulated scientific discovery context by first teaching them how to use an electronic device and then asking them to discover how a hitherto unencountered function worked. To do this task, subjects had to formulate hypotheses based on their prior knowledge, conduct experiments, and evaluate the results of their experiments. In the first study, using 20 adult subjects, (...)
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  • Questions concerning possible shortest single axioms for the equivalential calculus: an application of automated theorem proving to infinite domains.L. Wos, S. Winker, R. Veroff, B. Smith & L. Henschen - 1983 - Notre Dame Journal of Formal Logic 24 (2):205-223.
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  • The Act of Creation: A Study of the Conscious and Unconscious Processes of Humor, Scientific Discovery and Art.A. Koestler - 1964
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  • The Act of Creation.Arthur Koestler - 1964 - British Journal for the Philosophy of Science 16 (63):255-257.
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  • The Rediscovery of the Mind by John Searle. [REVIEW]Daniel C. Dennett - 1993 - Journal of Philosophy 90 (4):193-205.
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  • The stream of thought.William James - 1890 - In The Principles of Psychology. London, England: Dover Publications.
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  • Situated action: A symbolic interpretation.A. H. Vera & Herbert A. Simon - 1993 - Cognitive Science 17 (1):7-48.
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  • Problem-solving with diagrammatic representations.Brian V. Funt - 1980 - Artificial Intelligence 13 (3):201-230.
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  • Associative Engines: Connectionism, Concepts and Representational Change.Andy Clark - 1994 - British Journal for the Philosophy of Science 45 (4):1047-1058.
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  • A Theory of Content and Other Essays.Alan Millar - 1992 - Philosophical Quarterly 42 (168):367-372.
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  • What Sorts of Machines Can Understand the Symbols They Use?Aaron Sloman & L. Jonathan Cohen - 1986 - Aristotelian Society Supplementary Volume 60 (1):61-96.
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  • Blind variation and selective retentions in creative thought as in other knowledge processes.Donald T. Campbell - 1960 - Psychological Review 67 (6):380-400.
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  • The stage question in cognitive-developmental theory.Charles J. Brainerd - 1978 - Behavioral and Brain Sciences 1 (2):173-182.
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  • Artificial Intelligence and Natural Man.Martin Atkinson - 1979 - Philosophical Quarterly 29 (116):278.
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  • Situated Action: Reply to William Clancey.Alonso H. Vera & Herbert A. Simon - 1993 - Cognitive Science 17 (1):117-133.
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  • Why am and eurisko appear to work.Douglas B. Lenat & John Seely Brown - 1984 - Artificial Intelligence 23 (3):269-294.
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  • Conjectures and Refutations: The Growth of Scientific Knowledge.Mary Hesse - 1965 - Philosophical Quarterly 15 (61):372-374.
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  • The Structure of Scientific Revolutions.David Bohm - 1964 - Philosophical Quarterly 14 (57):377-379.
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  • The Society of Mind.Marvin Minsky - 1987 - The Personalist Forum 3 (1):19-32.
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  • Psychosemantics: The Problem of Meaning in the Philosophy of Mind.Daniel C. Dennett - 1988 - Journal of Philosophy 85 (7):384-389.
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  • Scientific Genius: A Psychology of Science.John Ziman & Dean Keith Simonton - 1989 - British Journal of Educational Studies 37 (3):299.
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  • Stagewise cognitive development: An application of catastrophe theory.Han L. Van der Maas & Peter C. Molenaar - 1992 - Psychological Review 99 (3):395-417.
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  • The Rediscovery of the Mind, by John Searle. [REVIEW]Mark William Rowe - 1992 - Philosophy 68 (265):415-418.
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