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  1. Computing machinery and intelligence.Alan M. 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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  • Analog and digital.David K. Lewis - 1971 - Noûs 5 (3):321-327.
  • Analog and analog.John Haugeland - 1981 - Philosophical Topics 12 (1):213-226.
  • On Computable Numbers, with an Application to the Entscheidungsproblem.Alan Turing - 1936 - Proceedings of the London Mathematical Society 42 (1):230-265.
  • Remarks on the development of computability.Stewart Shapiro - 1983 - History and Philosophy of Logic 4 (1-2):203-220.
    The purpose of this article is to examine aspects of the development of the concept and theory of computability through the theory of recursive functions. Following a brief introduction, Section 2 is devoted to the presuppositions of computability. It focuses on certain concepts, beliefs and theorems necessary for a general property of computability to be formulated and developed into a mathematical theory. The following two sections concern situations in which the presuppositions were realized and the theory of computability was developed. (...)
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  • On a simple definition of computable function of a real variable‐with applications to functions of a complex variable.Marian Boykan Pour-El & Jerome Caldwell - 1975 - Mathematical Logic Quarterly 21 (1):1-19.
  • S. C. Kleene. General recursive functions of natural numbers. Mathematische Annalen, Bd. 112 (1935–1936), S. 727–742.S. C. Kleene - 1937 - Journal of Symbolic Logic 2 (1):38-38.
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  • Analog and Analog.John Haugeland - 1981 - Philosophical Topics 12 (1):213-225.
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  • Computable Functionals.A. Grzegorczyk - 1959 - Journal of Symbolic Logic 24 (1):50-51.
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  • Notationality and the information processing mind.Vinod Goel - 1991 - Minds and Machines 1 (2):129-166.
    Cognitive science uses the notion of computational information processing to explain cognitive information processing. Some philosophers have argued that anything can be described as doing computational information processing; if so, it is a vacuous notion for explanatory purposes.An attempt is made to explicate the notions of cognitive information processing and computational information processing and to specify the relationship between them. It is demonstrated that the resulting notion of computational information processing can only be realized in a restrictive class of dynamical (...)
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  • Mental algorithms: Are minds computational systems?James H. Fetzer - 1994 - Pragmatics and Cognition 21 (1):1-29.
    The idea that human thought requires the execution of mental algorithms provides a foundation for research programs in cognitive science, which are largely based upon the computational conception of language and mentality. Consideration is given to recent work by Penrose, Searle, and Cleland, who supply various grounds for disputing computationalism. These grounds in turn qualify as reasons for preferring a non-computational, semiotic approach, which can account for them as predictable manifestations of a more adquate conception. Thinking does not ordinarily require (...)
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  • Mental Algorithms: Are Minds Computational Systems?James H. Fetzer - 1994 - Pragmatics and Cognition 2 (1):1-29.
    The idea that human thought requires the execution of mental algorithms provides a foundation for research programs in cognitive science, which are largely based upon the computational conception of language and mentality. Consideration is given to recent work by Penrose, Searle, and Cleland, who supply various grounds for disputing computationalism. These grounds in turn qualify as reasons for preferring a non-computational, semiotic approach, which can account for them as predictable manifestations of a more adquate conception. Thinking does not ordinarily require (...)
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  • Computationalism.Eric Dietrich - 1990 - Social Epistemology 4 (2):135-154.
    This paper argues for a noncognitiveist computationalism in the philosophy of mind. It further argues that both humans and computers have intentionality, that is, their mental states are semantical -- they are about things in their worlds.
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  • On some fundamental distinctions of computationalism.William Demopoulos - 1987 - Synthese 70 (January):79-96.
    The following paper presents a characterization of three distinctions fundamental to computationalism, viz., the distinction between analog and digital machines, representation and nonrepresentation-using systems, and direct and indirect perceptual processes. Each distinction is shown to rest on nothing more than the methodological principles which justify the explanatory framework of the special sciences.
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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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  • Is the church-Turing thesis true?Carol E. Cleland - 1993 - Minds and Machines 3 (3):283-312.
    The Church-Turing thesis makes a bold claim about the theoretical limits to computation. It is based upon independent analyses of the general notion of an effective procedure proposed by Alan Turing and Alonzo Church in the 1930''s. As originally construed, the thesis applied only to the number theoretic functions; it amounted to the claim that there were no number theoretic functions which couldn''t be computed by a Turing machine but could be computed by means of some other kind of effective (...)
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  • An Unsolvable Problem of Elementary Number Theory.Alonzo Church - 1936 - Journal of Symbolic Logic 1 (2):73-74.
  • A note on the entscheidungsproblem.Alonzo Church - 1936 - Journal of Symbolic Logic 1 (1):40-41.
  • From Frege to Gödel: A Source Book in Mathematical Logic, 1879-1931.Jean van Heijenoort (ed.) - 1967 - Cambridge, MA, USA: Harvard University Press.
    Gathered together here are the fundamental texts of the great classical period in modern logic. A complete translation of Gottlob Frege's Begriffsschrift--which opened a great epoch in the history of logic by fully presenting propositional calculus and quantification theory--begins the volume, which concludes with papers by Herbrand and by Gödel.
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  • A Primer on Determinism.John Earman - 1986 - D. Reidel.
    Determinism is a perennial topic of philosophical discussion. Very little acquaintance with the philosophical literature is needed to reveal the Tower of ...
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  • Computation and Cognition: Toward a Foundation for Cognitive Science.Zenon W. Pylyshyn - 1984 - Cambridge: MIT Press.
    This systematic investigation of computation and mental phenomena by a noted psychologist and computer scientist argues that cognition is a form of computation, that the semantic contents of mental states are encoded in the same general way as computer representations are encoded. It is a rich and sustained investigation of the assumptions underlying the directions cognitive science research is taking. 1 The Explanatory Vocabulary of Cognition 2 The Explanatory Role of Representations 3 The Relevance of Computation 4 The Psychological Reality (...)
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  • The emperor’s new mind.Roger Penrose - 1989 - Oxford University Press.
    Winner of the Wolf Prize for his contribution to our understanding of the universe, Penrose takes on the question of whether artificial intelligence will ever ...
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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 ..
  • The Undecidable: Basic Papers on Undecidable Propositions, Unsolvable Problems and Computable Functions.Martin Davis (ed.) - 1965 - Hewlett, NY, USA: Dover Publication.
    "A valuable collection both for original source material as well as historical formulations of current problems."-- The Review of Metaphysics "Much more than a mere collection of papers . . . a valuable addition to the literature."-- Mathematics of Computation An anthology of fundamental papers on undecidability and unsolvability by major figures in the field, this classic reference opens with Godel's landmark 1931 paper demonstrating that systems of logic cannot admit proofs of all true assertions of arithmetic. Subsequent papers by (...)
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  • Grundzüge der theoretischen Logik.D. Hilbert & W. Ackermann - 1928 - Annalen der Philosophie Und Philosophischen Kritik 7:157-157.
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  • Meaning and Mental Representation.Robert Cummins - 1990 - Mind 99 (396):637-642.
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  • Remarks before the Princeton Bicentennial Conference on Problems in Mathematics.Kurt Gödel - 1946 - In Solomon Feferman, John Dawson & Stephen Kleene (eds.), Kurt Gödel: Collected Works Vol. Ii. Oxford University Press. pp. 150--153.
  • Church's Thesis and Principles for Mechanisms.Robin Gandy - 1980 - In The Kleene Symposium. North-Holland. pp. 123--148.
  • Languages of Art.Nelson Goodman - 1970 - Philosophy and Rhetoric 3 (1):62-63.
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  • From Frege to Gödel. A Source Book in Mathematical Logic 1879-1931.Jean van Heijenoort - 1968 - Synthese 18 (2-3):302-305.
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  • Connectionism, computation, and cognition.Robert C. Cummins & Georg Schwarz - 1991 - In Terence E. Horgan & John L. Tienson (eds.), Connectionism and the Philosophy of Mind. Kluwer Academic Publishers. pp. 60--73.
  • The Physical Church Thesis and Physical Computational Complexity.Itamar Pitowski - 1990 - Iyyun 39:81-99.
  • The Universal Turing Machine. A Half-Century Survey.Rolf Herken - 1992 - Revue Philosophique de la France Et de l'Etranger 182 (3):344-350.
     
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  • Mechanical procedures and mathematical experience.Wilfried Sieg - 1994 - In Alexander George (ed.), Mathematics and Mind. Oxford University Press. pp. 71--117.
    Wilfred Sieg. Mechanical Procedures and Mathematical Experience.
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