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  1. 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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  • The Structure of Scientific Revolutions.David Bohm - 1964 - Philosophical Quarterly 14 (57):377-379.
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  • Language, Thought, and Other Biological Categories.Ruth Garrett Millikan - 1984 - Behaviorism 14 (1):51-56.
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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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  • 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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  • Cognition in the Wild.Edward Hutchins - 1995 - Critica 27 (81):101-105.
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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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  • 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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  • 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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  • Situated Action: Reply to William Clancey.Alonso H. Vera & Herbert A. Simon - 1993 - Cognitive Science 17 (1):117-133.
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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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  • 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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  • Epiphenomenal qualia.Frank Jackson - 1982 - Philosophical Quarterly 32 (April):127-136.
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  • Mental algorithms: Are minds computational systems?James H. Fetzer - 1994 - Pragmatics and Cognition 21 (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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  • 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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  • Unified Theories of Cognition.Michael A. Arbib - 1993 - Artificial Intelligence 59 (1-2):265-283.
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  • The Creative Vision: A Longitudinal Study of Problem Finding in Art.Vera John-Steiner - 1979 - Journal of Aesthetic Education 13 (4):121.
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  • Cognition in the Wild.Edwin Hutchins - 1998 - Mind 107 (426):486-492.
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  • Consciousness Explained.William G. Lycan - 1993 - Philosophical Review 102 (3):424.
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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 Act of Creation.Arthur Koestler - 1964 - British Journal for the Philosophy of Science 16 (63):255-257.
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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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  • The Rediscovery of the Mind by John Searle. [REVIEW]Daniel C. Dennett - 1993 - Journal of Philosophy 90 (4):193-205.
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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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  • Representations: Philosophical Essays on the Foundations of Cognitive Science.Jerry A. Fodor - 1983 - British Journal for the Philosophy of Science 34 (2):175-182.
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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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  • Moral Theory and Medical Practice.Grant Gillett - 1991 - Philosophical Quarterly 41 (164):379-381.
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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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  • Real People: Personal Identity Without Thought Experiments.Kathleen V. Wilkes - 1990 - Mind 99 (394):305-308.
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  • The Language of Thought.Patricia Smith Churchland - 1975 - Noûs 14 (1):120-124.
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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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  • 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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  • 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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  • If human cognition is adaptive, can human knowledge consist of encodings?Robert L. Campbell & Mark H. Bickhard - 1991 - Behavioral and Brain Sciences 14 (3):488-489.
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  • Concept Discovery in a Scientific Domain.Kevin Dunbar - 1993 - Cognitive Science 17 (3):397-434.
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  • Problem-solving with diagrammatic representations.Brian V. Funt - 1980 - Artificial Intelligence 13 (3):201-230.
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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 Rediscovery of the Mind, by John Searle. [REVIEW]Mark William Rowe - 1992 - Philosophy 68 (265):415-418.
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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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  • 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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  • 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 Society of Mind.Marvin Minsky - 1987 - The Personalist Forum 3 (1):19-32.
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  • Motives, mechanisms, and emotions.Aaron Sloman - 1987 - Cognition and Emotion 1 (3):217-233.
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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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  • Scientific Genius: A Psychology of Science.John Ziman & Dean Keith Simonton - 1989 - British Journal of Educational Studies 37 (3):299.
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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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  • Artificial Intelligence and Natural Man.Martin Atkinson - 1979 - Philosophical Quarterly 29 (116):278.
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