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  1. (2 other versions)An Introduction to Gödel's Theorems.Peter Smith - 2007 - New York: Cambridge University Press.
    In 1931, the young Kurt Gödel published his First Incompleteness Theorem, which tells us that, for any sufficiently rich theory of arithmetic, there are some arithmetical truths the theory cannot prove. This remarkable result is among the most intriguing in logic. Gödel also outlined an equally significant Second Incompleteness Theorem. How are these Theorems established, and why do they matter? Peter Smith answers these questions by presenting an unusual variety of proofs for the First Theorem, showing how to prove the (...)
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  • Informal Rigour and Completeness Proofs.Georg Kreisel - 1967 - In Imre Lakatos (ed.), Problems in the philosophy of mathematics. Amsterdam,: North-Holland Pub. Co.. pp. 138--157.
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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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  • Language, Proof and Logic.Jon Barwise & John Etchemendy - 1999 - New York and London: Seven Bridges Press.
    Covers first-order language in method appropriate for first and second courses in logic. CD-ROM consists of a new book, 3 programs,and an Internet-based grading service.
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  • A natural axiomatization of computability and proof of Church’s thesis.Nachum Dershowitz & Yuri Gurevich - 2008 - Bulletin of Symbolic Logic 14 (3):299-350.
    Church's Thesis asserts that the only numeric functions that can be calculated by effective means are the recursive ones, which are the same, extensionally, as the Turing-computable numeric functions. The Abstract State Machine Theorem states that every classical algorithm is behaviorally equivalent to an abstract state machine. This theorem presupposes three natural postulates about algorithmic computation. Here, we show that augmenting those postulates with an additional requirement regarding basic operations gives a natural axiomatization of computability and a proof of Church's (...)
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  • Computers, justification, and mathematical knowledge.Konstantine Arkoudas & Selmer Bringsjord - 2007 - Minds and Machines 17 (2):185-202.
    The original proof of the four-color theorem by Appel and Haken sparked a controversy when Tymoczko used it to argue that the justification provided by unsurveyable proofs carried out by computers cannot be a priori. It also created a lingering impression to the effect that such proofs depend heavily for their soundness on large amounts of computation-intensive custom-built software. Contra Tymoczko, we argue that the justification provided by certain computerized mathematical proofs is not fundamentally different from that provided by surveyable (...)
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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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  • Vivid: A framework for heterogeneous problem solving.Konstantine Arkoudas & Selmer Bringsjord - 2009 - Artificial Intelligence 173 (15):1367-1405.
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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)Language, Proof and Logic.Patrick Grim - 2001 - Bulletin of Symbolic Logic 7 (3):377-379.
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  • The modal argument for hypercomputing minds.Selmer Bringsjord - 2004 - Theoretical Computer Science 317.
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  • Shadows of the Mind: A Search for the Missing Science of Consciousness.Roger Penrose - 1994 - Oxford University Press.
    Presenting a look at the human mind's capacity while criticizing artificial intelligence, the author makes suggestions about classical and quantum physics and ..
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  • An Introduction to Gödel's Theorems.Peter Smith - 2009 - Bulletin of Symbolic Logic 15 (2):218-222.
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  • The Logic Book.Merrie Bergmann, James Moor, Jack Nelson & Merrie Bergman - 1982 - Journal of Symbolic Logic 47 (4):915-917.
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  • Elements of the Theory of Computation.Harry R. Lewis & Christos H. Papadimitriou - 1984 - Journal of Symbolic Logic 49 (3):989-990.
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  • Superminds: People Harness Hypercomputation, and More.Mark Phillips, Selmer Bringsjord & M. Zenzen - 2003 - Dordrecht, Netherland: Springer Verlag.
    When Ken Malone investigates a case of something causing mental static across the United States, he is teleported to a world that doesn't exist.
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  • Church Without Dogma: Axioms for Computability.Wilfried Sieg - unknown
    Church's and Turing's theses dogmatically assert that an informal notion of effective calculability is adequately captured by a particular mathematical concept of computability. I present an analysis of calculability that is embedded in a rich historical and philosophical context, leads to precise concepts, but dispenses with theses. To investigate effective calculability is to analyze symbolic processes that can in principle be carried out by calculators. This is a philosophical lesson we owe to Turing. Drawing on that lesson and recasting work (...)
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  • Corrections to igt.Peter Smith - unknown
    An Introduction to G¨ odel’s Theorems now exists in two versions – the original 2007 printing, and a corrected reprint in 2008. The quick way of telling these apart is to glance at the imprints page (the verso of the title page): the later version notes, halfway down that page, “Reprinted with corrections 2008”. Corrections marked with marginal side-bars as here are those that have been noted after the second printing went to press, and hence still need correction/improvement. If you (...)
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  • Toward formalizing common-sense psychology: an analysis of the false-belief task.Konstantine Arkoudas & Selmer Bringsjord - 2008 - In Tu-Bao Ho & Zhi-Hua Zhou (eds.), PRICAI 2008: Trends in Artificial Intelligence. Springer. pp. 17--29.
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  • (1 other version)On the Provability, Veracity, and AI-Relevance of the Church-Turing Thesis.Selmer Bringsjord & Konstantine Arkoudas - 2006 - In A. Olszewski, J. Wole'nski & R. Janusz (eds.), Church's Thesis After Seventy Years. Ontos Verlag. pp. 68-118.
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  • Proving church's thesis.Robert Black - 2000 - Philosophia Mathematica 8 (3):244--58.
    Arguments to the effect that Church's thesis is intrinsically unprovable because proof cannot relate an informal, intuitive concept to a mathematically defined one are unconvincing, since other 'theses' of this kind have indeed been proved, and Church's thesis has been proved in one direction. However, though evidence for the truth of the thesis in the other direction is overwhelming, it does not yet amount to proof.
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