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  1. Artificial Intelligence: A Philosophical Introduction.B. Jack Copeland - 1993 - Cambridge: Blackwell.
    Presupposing no familiarity with the technical concepts of either philosophy or computing, this clear introduction reviews the progress made in AI since the inception of the field in 1956. Copeland goes on to analyze what those working in AI must achieve before they can claim to have built a thinking machine and appraises their prospects of succeeding.There are clear introductions to connectionism and to the language of thought hypothesis which weave together material from philosophy, artificial intelligence and neuroscience. John Searle's (...)
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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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  • On the verisimilitude of artificial intelligence.Roger Vergauwen & Rodrigo González - 2005 - Logique Et Analyse- 190 (189):323-350.
    This paper investigates how the simulation of intelligence, an activity that has been considered the notional task of Artificial Intelligence, does not comprise its duplication. Briefly touching on the distinction between conceivability and possibility, and commenting on Ryan’s approach to fiction in terms of the interplay between possible worlds and her principle of minimal departure, we specify verisimilitude in Artificial Intelligence as the accurate resemblance of intelligence by its simulation and, from this characterization, claim the metaphysical impossibility of duplicating intelligence, (...)
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  • (3 other versions)Brains and behavior.Hilary Putnam - 1965 - In Sydney Shoemaker (ed.), Review of _Analytical Philosophy_, Ronald J. Butler (ed.). Blackwell.
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  • The Intentional Stance.Daniel Clement Dennett - 1981 - MIT Press.
    Through the use of such "folk" concepts as belief, desire, intention, and expectation, Daniel Dennett asserts in this first full scale presentation of...
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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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  • Possible Worlds, Artificial Intelligence, and Narrative Theory.Marie-Laure Ryan - 1993 - Journal of Aesthetics and Art Criticism 51 (3):526-527.
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  • On Computable Numbers, with an Application to the Entscheidungsproblem.Alan Turing - 1936 - Proceedings of the London Mathematical Society 42 (1):230-265.
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  • The computer model of mind.Ned Block - 1990 - In Daniel N. Osherson & Edward E. Smith (eds.), An Invitation to Cognitive Science: Visual cognition. 2. MIT Press.
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  • (1 other version)Alan Turing: the Enigma.Andrew Hodges - 1985 - Journal of Symbolic Logic 50 (4):1065-1067.
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  • (1 other version)The Elm and the Expert: Mentalese and its Semantics.Jerry A. Fodor - 1995 - MIT Press.
    Written in a highly readable, irreverent style, The Elm and the Expert provides a lively discussion of semantic issues about mental representation, with special attention to issues raised by Frege's problem, Twin cases, and the putative indeterminacy of reference. Bound to be widely read and much discussed, The Elm and the Expert, written in Jerry Fodor's usual highly readable, irreverent style, provides a lively discussion of semantic issues about mental representation, with special attention to issues raised by Frege's problem, Twin (...)
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  • An analysis of the Turing test.James H. Moor - 1976 - Philosophical Studies 30 (4):249 - 257.
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  • The Turing test: The first fifty years.Robert M. French - 2000 - Trends in Cognitive Sciences 4 (3):115-121.
    The Turing Test, originally proposed as a simple operational definition of intelligence, has now been with us for exactly half a century. It is safe to say that no other single article in computer science, and few other articles in science in general, have generated so much discussion. The present article chronicles the comments and controversy surrounding Turing's classic article from its publication to the present. The changing perception of the Turing Test over the last fifty years has paralleled the (...)
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  • (3 other versions)Brains and Behaviour.Hilary Putnam - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. New York: Oxford University Press.
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  • Possible Worlds, Artificial Intelligence, and Narrative Theory.David Herman - 1994 - Substance 23 (2):135.
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