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Philosophy and Artificial Intelligence

Prentice-Hall (1993)

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  1. Turing's golden: How well Turing's work stands today.Justin Leiber - 2006 - 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.
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  • Consciousness defies scientific and computational reduction.Jan M. Żytkow - 1998 - Foundations of Science 3 (1):83-101.
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  • Modeling biological systems: The belousov–zhabotinsky reaction. [REVIEW]Niall Shanks - 2001 - Foundations of Chemistry 3 (1):33-53.
    In this essay I examine the ways in which the Belousov–Zhabotinsky (BZ) reaction is being used by biologists to model a variety of biological systems and processes. The BZ reaction is characterized as a functional model of biological phenomena. It is able to play this role because, though based on very different substrates, the model and system modeled are examples of the same type of excitable medium. Lessons are drawn from this case about the relationships between the sciences of chemistry (...)
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  • (1 other version)Computers Are Syntax All the Way Down: Reply to Bozşahin.William J. Rapaport - 2019 - Minds and Machines 29 (2):227-237.
    A response to a recent critique by Cem Bozşahin of the theory of syntactic semantics as it applies to Helen Keller, and some applications of the theory to the philosophy of computer science.
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  • On Turing's Turing test and why the matter matters.Justin Leiber - 1995 - Synthese 104 (1):59-69.
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  • Representation and computation in a deflationary assessment of connectionist cognitive science.Keith Butler - 1995 - Synthese 104 (1):71-97.
    Connectionism provides hope for unifying work in neuroscience, computer science, and cognitive psychology. This promise has met with some resistance from Classical Computionalists, which may have inspired Connectionists to retaliate with bold, inflationary claims on behalf of Connectionist models. This paper demonstrates, by examining three intimately connected issues, that these inflationary claims made on behalf of Connectionism are wrong. This should not be construed as an attack on Connectionism, however, since the inflated claims made on its behalf have the look (...)
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