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  1. Methodological solipsism considered as a research strategy in cognitive psychology.Jerry A. Fodor - 1979 - Behavioral and Brain Sciences 3 (1):63-73.
    The paper explores the distinction between two doctrines, both of which inform theory construction in much of modern cognitive psychology: the representational theory of mind and the computational theory of mind. According to the former, propositional attitudes are to be construed as relations that organisms bear to mental representations. According to the latter, mental processes have access only to formal (nonsemantic) properties of the mental representations over which they are defined.The following claims are defended: (1) That the traditional dispute between (...)
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  • al-Akhlāq: uṣūluhā al-dīnīyah wa-judhūruhā al-falsafīyah.Muḥammad ʻAlī Bārr - 2010 - Jiddah: Kursī Akhlāqīyāt al-Ṭibb.
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  • A Framework for Representing Knowledge.Marvin Minsky - unknown
    It seems to me that the ingredients of most theories both in Artificial Intelligence and in Psychology have been on the whole too minute, local, and unstructured to account–either practically or phenomenologically–for the effectiveness of common-sense thought. The "chunks" of reasoning, language, memory, and "perception" ought to be larger and more structured; their factual and procedural contents must be more intimately connected in order to explain the apparent power and speed of mental activities.
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  • The nature and plausibility of cognitivism.John Haugeland - 1978 - Behavioral and Brain Sciences 1 (2):215-26.
    Cognitivism in psychology and philosophy is roughly the position that intelligent behavior can (only) be explained by appeal to internal that is, rational thought in a very broad sense. Sections 1 to 5 attempt to explicate in detail the nature of the scientific enterprise that this intuition has inspired. That enterprise is distinctive in at least three ways: It relies on a style of explanation which is different from that of mathematical physics, in such a way that it is not (...)
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  • Artificial intelligence—A personal view.David Marr - 1977 - Artificial Intelligence 9 (September):37-48.
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  • (1 other version)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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  • (1 other version)Computing machinery and intelligence.Alan Turing - 1950 - Mind 59 (October):433-60.
    I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to (...)
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  • (1 other version)Minds and Machines.Hilary Putnam - 1960 - In Sidney Hook (ed.), Dimensions Of Mind: A Symposium. NY: NEW YORK University Press. pp. 138-164.
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  • Intentional systems.Daniel C. Dennett - 1971 - Journal of Philosophy 68 (February):87-106.
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  • (1 other version)The mind-body problem.Jerry Fodor - 1981 - Scientific American 244 (1):114-25.
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  • (1 other version)Computer Science as Empirical Inquiry: Symbols and Search.Allen Newell & H. A. Simon - 1976 - Communications of the Acm 19:113-126.
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  • (1 other version)Minds, Brains, and Programs.John Searle - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. New York: Oxford University Press.
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  • ELIZA—A Computer Program For the Study of Natural Language Communication Between Man And Machine.Joseph Weizenbaum - 1966 - Communications of the Acm 9 (1):36-45.
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  • The material mind.Donald Davidson - 1973 - In Patrick Suppes (ed.), Logic, methodology and philosophy of science. New York,: American Elsevier Pub. Co..
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  • (1 other version)Computing Machinery and Intelligence.Alan M. Turing - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. New York: Oxford University Press.
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  • Modeling a paranoid mind.Kenneth Mark Colby - 1981 - Behavioral and Brain Sciences 4 (4):515-534.
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  • Semantic engines: An introduction to mind design.John Haugeland - 1981 - In J. Haugel (ed.), Mind Design. MIT Press.
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  • (1 other version)The Mind-Body Problem.Jerry Fodor - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. New York: Oxford University Press.
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  • Complexity and the study of artificial and human intelligence.Zenon W. Pylyshyn - 1979 - In Martin Ringle (ed.), Philosophical Perspectives in Artificial Intelligence. Humanities Press.
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  • Artificial intelligence meets natural stupidity.Drew McDermott - 1981 - In J. Haugel (ed.), Mind Design. MIT Press. pp. 5-18.
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  • (1 other version)II. Der kategorische Imperativ gegenüber einer Mehrheit von Sittengesetzen. Boden - 1912 - Archiv für Geschichte der Philosophie 25 (1):7-52.
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  • Reductionism and the nature of psychology.Hilary Putnam - 1973 - Cognition 2 (1):131-146.
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  • From micro-worlds to knowledge representation: AI at an impasse.Hubert L. Dreyfus - 1981 - In J. Haugel (ed.), Mind Design. MIT Press. pp. 161--204.
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