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Titlebook: Computers and Cognition: Why Minds are not Machines; James H. Fetzer Book 2001 Springer Science+Business Media Dordrecht 2001 Prolog.artif

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书目名称Computers and Cognition: Why Minds are not Machines
编辑James H. Fetzer
视频video
概述Includes supplementary material:
丛书名称Studies in Cognitive Systems
图书封面Titlebook: Computers and Cognition: Why Minds are not Machines;  James H. Fetzer Book 2001 Springer Science+Business Media Dordrecht 2001 Prolog.artif
描述An important collection of studies providing a fresh andoriginal perspective on the nature of mind, including thoughtful anddetailed arguments that explain why the prevailing paradigm -the computational conception of language and mentality - can nolonger be sustained. An alternative approach is advanced, inspired bythe work of Charles S. Peirce, according to which minds are sign-using(or `semiotic‘) systems, which in turn generates distinctions betweendifferent kinds of minds and overcomes problems that burden morefamiliar alternatives. Unlike conceptions of minds as machines, thisnovel approach has obvious evolutionary implications, wheredifferences in semiotic abilities tend to distinguish the species.From this point of view, the scope and limits of computer and AIsystems can be more adequately appraised and alternative accounts ofconsciousness and cognition can be more thoroughly criticised. ..Readership:. Intermediate and advanced students of computerscience, AI, cognitive science, and all students of the philosophy ofthe mind.
出版日期Book 2001
关键词Prolog; artificial intelligence; behavior; cognition; consciousness; epistemology; evolution; philosophy; sc
版次1
doihttps://doi.org/10.1007/978-94-010-0973-7
isbn_softcover978-1-4020-0243-4
isbn_ebook978-94-010-0973-7Series ISSN 0924-0780
issn_series 0924-0780
copyrightSpringer Science+Business Media Dordrecht 2001
The information of publication is updating

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Philosophical Aspects of Program Verificationof the discipline. There are those, such as C. A. R. Hoare and Edsgar Dijkstra, who maintain that, in order to attain the standing of a science rather than of a craft, computer science should model itself after mathematics. Others, including Richard DeMillo, Richard Lipton, and Alan Perlis, however,
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Philosophy and Computer Scienceisal of the scope and limits of formal methods to guarantee the reliability of computer system performance. Although intended as a philosophical critique, the response thereby generated was not altogether “philosophical”. The debate has now moved beyond . to ., and other journals and books and shows
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