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  • Varol Akman & Patrick Blackburn (2000). Editorial: Alan Turing and Artificial Intelligence. Journal of Logic, Language and Information 9 (4):391-395.
    Department of Computer Engineering, Bilkent University, 06533 Ankara, Turkey E-mail: akman@cs.bilkent.edu.tr; http://www.cs.bilkent.edu.tr/?akman..
    The Turing Test in Philosophy of Cognitive Science
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  • 64.6Christian Beenfeldt (2006). The Turing Test: An Examination of its Nature and its Mentalistic Ontology. Danish Yearbook of Philosophy 40:109-144.
    The Turing Test in Philosophy of Cognitive Science
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  • 63.7Ayse P. Saygin, Ilyas Cicekli & Varol Akman (2000). Turing Test: 50 Years Later. Minds and Machines 10 (4):463-518.
    The Turing Test is one of the most disputed topics in artificial intelligence, philosophy of mind, and cognitive science. This paper is a review of the past 50 years of the Turing Test. Philosophical debates, practical developments and repercussions in related disciplines are all covered. We discuss Turing''s ideas in detail and present the important comments that have been made on them. Within this context, behaviorism, consciousness, the `other minds'' problem, and similar topics in philosophy of mind are discussed. We (...) also cover the sociological and psychological aspects of the Turing Test. Finally, we look at the current situation and analyze programs that have been developed with the aim of passing the Turing Test. We conclude that the Turing Test has been, and will continue to be, an influential and controversial topic. (shrink)
    The Turing Test in Philosophy of Cognitive Science
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  • 62.7Saul Traiger (2000). Making the Right Identification in the Turing Test. Minds and Machines 10 (4):561-572.
    The test Turing proposed for machine intelligence is usually understood to be a test of whether a computer can fool a human into thinking that the computer is a human. This standard interpretation is rejected in favor of a test based on the Imitation Game introduced by Turing at the beginning of "Computing Machinery and Intelligence.".
    The Turing Test in Philosophy of Cognitive Science
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  • 62.4Gualtiero Piccinini (2003). Alan Turing and the Mathematical Objection. Minds and Machines 13 (1):23-48.
    This paper concerns Alan Turing’s ideas about machines, mathematical methods of proof, and intelligence. By the late 1930s, Kurt Gödel and other logicians, including Turing himself, had shown that no finite set of rules could be used to generate all true mathematical statements. Yet according to Turing, there was no upper bound to the number of mathematical truths provable by intelligent human beings, for they could invent new rules and methods of proof. So, the output of a human mathematician, for (...) Turing, was not a computable sequence (i.e., one that could be generated by a Turing machine). Since computers only contained a finite number of instructions (or programs), one might argue, they could not reproduce human intelligence. Turing called this the “mathematical
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    Godelian arguments in Philosophy of Cognitive Science
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  • 60.6Justin Leiber (2006). Turing's Golden: How Well Turing's Work Stands Today. Philosophical Psychology 19 (1):13-46.
    A. M. Turing has bequeathed us a conceptulary including 'Turing, or Turing-Church, thesis', 'Turing machine', 'universal Turing machine', 'Turing test' and 'Turing structures', plus other unnamed achievements. These include a proof that any formal language adequate to express arithmetic contains undecidable formulas, as well as achievements in computer science, artificial intelligence, mathematics, biology, and cognitive science. Here it is argued that these achievements hang together and have prospered well in the 50 years since Turing's death.
    The Turing Test in Philosophy of Cognitive Science
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