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  1. 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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  • (6 other versions)Robot: Mere Machine to Transcendent Mind.Hans P. Moravec - 1998 - Oup Usa.
    Machines will attain human levels of intelligence by the year 2040, predicts robotics expert Hans Moravec. And by 2050, they will have far surpassed us. In this mind-bending new book, Hans Moravec takes the reader on a roller coaster ride packed with such startling predictions. He tells us, for instance, that in the not-too-distant future, an army of robots will displace workers, causing massive, unprecedented unemployment. But then, says Moravec, a period of very comfortable existence will follow, as humans benefit (...)
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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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  • The Limits of Empiricism.Bertrand Russell - 1936 - Proceedings of the Aristotelian Society 36:131--50.
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  • (1 other version)Cognitive Carpentry: A Blueprint for how to Build a Person.John L. Pollock - 1995 - MIT Press.
    "A sequel to Pollock's How to Build a Person, this volume builds upon that theoretical groundwork for the implementation of rationality through artificial ...
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  • Mathematical logic.Heinz-Dieter Ebbinghaus - 1996 - New York: Springer. Edited by Jörg Flum & Wolfgang Thomas.
    This junior/senior level text is devoted to a study of first-order logic and its role in the foundations of mathematics: What is a proof? How can a proof be justified? To what extent can a proof be made a purely mechanical procedure? How much faith can we have in a proof that is so complex that no one can follow it through in a lifetime? The first substantial answers to these questions have only been obtained in this century. The most (...)
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  • What Robots Can and Can’t Be.Selmer Bringsjord - 1992 - Dordrecht, Netherland: Kluwer Academic Publishers.
    This book argues that (1) AI will continue to produce machines with the capacity to pass stronger and stronger versions of the Turing Test but that (2) the "Person Building Project" (the attempt by AI and Cognitive Science to build a machine which is a person) will inevitably fail. The defense of (2) rests in large part on a refutation of the proposition that persons are automata -- a refutation involving an array of issues, from free will to Godel to (...)
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  • Other bodies, other minds: A machine incarnation of an old philosophical problem. [REVIEW]Stevan Harnad - 1991 - Minds and Machines 1 (1):43-54.
    Explaining the mind by building machines with minds runs into the other-minds problem: How can we tell whether any body other than our own has a mind when the only way to know is by being the other body? In practice we all use some form of Turing Test: If it can do everything a body with a mind can do such that we can't tell them apart, we have no basis for doubting it has a mind. But what is (...)
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  • (1 other version)Philosophy of Mathematics and Natural Science.Hermann Weyl - 1949 - Princeton, N.J.: Princeton University Press. Edited by Olaf Helmer-Hirschberg & Frank Wilczek.
    This is a book that no one but Weyl could have written--and, indeed, no one has written anything quite like it since.
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  • Is The Connectionist-Logicist Debate One of AI's Wonderful Red Herrings?Selmer Bringsjord - 1991 - Journal of Theoretical and Experimental Artificial Intelligence 3:319-49.
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  • Turing's O-machines, Searle, Penrose and the brain.B. J. Copeland - 1998 - Analysis 58 (2):128-138.
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  • (1 other version)Computability and Logic.G. S. Boolos & R. C. Jeffrey - 1977 - British Journal for the Philosophy of Science 28 (1):95-95.
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  • Trial and error predicates and the solution to a problem of Mostowski.Hilary Putnam - 1965 - Journal of Symbolic Logic 30 (1):49-57.
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  • An analysis of Turing's test.James H. Moor - 1976 - Philosophical Studies 30:249-257.
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  • Philosophy and 'super'computation.Sehner Bringsjord - 1998 - In Terrell Ward Bynum & James Moor (eds.), The Digital Phoenix: How Computers are Changing Philosophy. Cambridge: Blackwell. pp. 231--252.
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  • Could, how could we tell if, and should - androids have inner lives?Selmer Bringsjord - 1994 - In Kenneth M. Ford, Clark N. Glymour & Patrick J. Hayes (eds.), Android Epistemology. MIT Press.
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  • Thinking may be more than computing.Peter Kugel - 1986 - Cognition 22 (2):137-198.
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