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  1. (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)Mind: A Brief Introduction.John R. Searle - 2004 - New York: Oxford University Press.
    "The philosophy of mind is unique among contemporary philosophical subjects," writes John Searle, "in that all of the most famous and influential theories are false." In Mind, Searle dismantles these famous and influential theories as he presents a vividly written, comprehensive introduction to the mind. Here readers will find one of the world's most eminent thinkers shedding light on the central concern of modern philosophy. Searle begins with a look at the twelve problems of philosophy of mind--which he calls "Descartes (...)
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  • Meaning and Mental Representation.Robert Cummins - 1989 - MIT Press.
    Looks at accounts by Locke, Fodor, Dretske, and Millikan concerning the nature of mental representation, and discusses connectionism and representation.
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  • Artificial Intelligence: A Modern Approach.Stuart Jonathan Russell & Peter Norvig (eds.) - 1995 - Prentice-Hall.
    Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. Dr. Peter Norvig, contributing Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence. According to an article in The New York Times, the course on artificial intelligence is (...)
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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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  • The Rediscovery of the Mind.Paul F. Snowdon - 1994 - Philosophical Quarterly 44 (175):259-260.
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  • Mental Leaps: Analogy in Creative Thought.Keith J. Holyoak & Paul Thagard - 1995 - MIT Press.
    Keith Holyoak and Paul Thagard provide a unified, comprehensive account of the diverse operations and applications of analogy, including problem solving, ...
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  • The Rediscovery of the Mind.John Searle - 1992 - MIT Press. Edited by Ned Block & Hilary Putnam.
    The title of The Rediscovery of the Mind suggests the question "When was the mind lost?" Since most people may not be aware that it ever was lost, we must also then ask "Who lost it?" It was lost, of course, only by philosophers, by certain philosophers. This passed unnoticed by society at large. The "rediscovery" is also likely to pass unnoticed. But has the mind been rediscovered by the same philosophers who "lost" it? Probably not. John Searle is an (...)
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  • Moving Beyond Metaphors.Chris Eliasmith - 2003 - Journal of Philosophy 100 (10):493-520.
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  • A Theory of Causal Learning in Children: Causal Maps and Bayes Nets.Alison Gopnik, Clark Glymour, Laura Schulz, Tamar Kushnir & David Danks - 2004 - Psychological Review 111 (1):3-32.
    We propose that children employ specialized cognitive systems that allow them to recover an accurate “causal map” of the world: an abstract, coherent, learned representation of the causal relations among events. This kind of knowledge can be perspicuously understood in terms of the formalism of directed graphical causal models, or “Bayes nets”. Children’s causal learning and inference may involve computations similar to those for learning causal Bayes nets and for predicting with them. Experimental results suggest that 2- to 4-year-old children (...)
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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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  • (1 other version)Mind: A Brief Introduction.John R. Searle - 2004 - New York: Oup Usa.
    In Mind: An Introduction, for the first time John Searle offers a general introduction to the philosophy of the mind. Giving a broad survey of all the major issues under discussion in the field, including philosophical issues in cognitive science and neurobiology, Searle argues for his own distinctive point of view. He leads the reader through the variety of theories that reduce the mind to aspects that can be fully explained by physics, and then concludes with his own view that (...)
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  • The Rediscovery of the Mind.John Searle - 1992 - Philosophy and Phenomenological Research 55 (1):201-207.
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  • (2 other versions)The Rediscovery of the Mind, by John Searle. [REVIEW]Mark William Rowe - 1992 - Philosophy 68 (265):415-418.
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  • Naturalizing the Mind.Fred Dretske - 1995 - Philosophy 72 (279):150-154.
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  • Meaning and Mental Representation.Peter Carruthers - 1990 - Philosophical Quarterly 40 (161):527-530.
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  • (1 other version)Naturalizing the Mind.Fred Dretske - 1997 - Noûs 31 (4):528-537.
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  • Computation and intentionality: A recipe for epistemic impasse.Itay Shani - 2005 - Minds and Machines 15 (2):207-228.
    Searle’s celebrated Chinese room thought experiment was devised as an attempted refutation of the view that appropriately programmed digital computers literally are the possessors of genuine mental states. A standard reply to Searle, known as the “robot reply” (which, I argue, reflects the dominant approach to the problem of content in contemporary philosophy of mind), consists of the claim that the problem he raises can be solved by supplementing the computational device with some “appropriate” environmental hookups. I argue that not (...)
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  • Meaning and Mental Representation.Robert Cummins - 1990 - Mind 99 (396):637-642.
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