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Computers and Cognition: Why Minds are Not Machines

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Springer, Nov 30, 2001 - 352 pages
An important collection of studies providing a fresh and original perspective on the nature of mind, including thoughtful and detailed arguments that explain why the prevailing paradigm - the computational conception of language and mentality - can no longer be sustained. An alternative approach is advanced, inspired by the work of Charles S. Peirce, according to which minds are sign-using (or `semiotic') systems, which in turn generates distinctions between different kinds of minds and overcomes problems that burden more familiar alternatives. Unlike conceptions of minds as machines, this novel approach has obvious evolutionary implications, where differences in semiotic abilities tend to distinguish the species. From this point of view, the scope and limits of computer and AI systems can be more adequately appraised and alternative accounts of consciousness and cognition can be more thoroughly criticised. Readership: Intermediate and advanced students of computer science, AI, cognitive science, and all students of the philosophy of the mind.
  

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Page 210 - As far as the laws of mathematics refer to reality, they are not certain ; and as far as they are certain, they do not refer to reality.
Page 90 - Consequently, the most perfect account of a concept that words can convey will consist in a description of the habit which that concept is calculated to produce. But how otherwise can a habit be described than by a description of the kind of action to which it gives rise, with the specification of the conditions and of the motive?
Page 55 - A physical symbol system consists of a set of entities, called symbols, which are physical patterns that can occur as components of another type of entity called an expression (or symbol structure).
Page 76 - Fodor has observed that such a construction entails the thesis that "mental processes have access only to formal (non-semantic) properties of the mental representations over which they are defined" [Fodor (1980), p. 307], Thus, the computational theory of the mind requires that two thoughts can be distinct in content only if they can be identified with relations to formally distinct representations.
Page 56 - Two notions are central to this structure of expressions, symbols, and objects: designation and interpretation. DESIGNATION. An expression designates an object if, given the expression, the system can either affect the object itself or behave in ways depending on the object. In either case, access to the object via the expression has been obtained, which is the essence of designation. INTERPRETATION. The system can interpret an expression if the expression designates a process and if, given the expression,...
Page 58 - The number of expressions that the system can hold is essentially unbounded. The type of system we have just defined is not unfamiliar to computer scientists. It bears a strong family resemblance...
Page 88 - Belief does not make us act at once, but puts us into such a condition that we shall behave in a certain way, when the occasion arises.
Page 49 - Since signs are things that stand for other things (in some respect or other) for something, minds are those things for which something can stand for something else (in some respect or other). This approach affords a conception that might apply to other animals or even to machines. Peirce distinguishes between three basic kinds of signs, to which he refers as "icons", "indices" and "symbols
Page 306 - In the real world, the outcome of software system operation is inherently uncertain with the precise area of uncertainty also not...

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From Google Scholar

Against Formal Phonology
Robert F Port, Adam P Leary - 2005 - LANGUAGE
A semiotic analysis of the genetic information system
Charbel Nino El-Hani, Joao Queiroz, Claus Emmeche - 2006 - Semiotica
Computer systems: Moral entities but not moral agents
Deborah G Johnson - 2006 - Ethics and Information Technology
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References from web pages

Computer Science
COMPUTERS AND COGNITION: Why Minds are Not Machines. Dordrecht, The Netherlands: Kluwer Academic Publishers, 2001. (Studies in Cognitive Systems, Vol. ...
www.d.umn.edu/ ~jfetzer/ computerscience.html

ingentaconnect James H. Fetzer, Computers and Cognition: Why Minds ...
James H. Fetzer, Computers and Cognition: Why Minds Are Not Machines, Dordrecht: Kluwer, 2001, xix + 323 pp., $128.00 (hardcover), ISBN 0-792-36615-8. ...
www.ingentaconnect.com/ content/ klu/ mind/ 2003/ 00000013/ 00000003/ 05119057;jsessionid=7c04dhtaasf47.alice?format=print

James H. Fetzer, <i>Computers and Cognition
James H. Fetzer, Computers and Cognition: Why Minds Are Not Machines, Dordrecht: Kluwer, 2001, xix + 323 pp., $128.00 (hardcover), ISBN 0-792-36615-8. ...
portal.acm.org/ citation.cfm?id=781092& jmp=cit& coll=GUIDE& dl=GUIDE& CFID=15151515& CFTOKEN=6184618

Computers and Cognition - Wikipedia, the free encyclopedia
Jump to: navigation, search. Computers and Cognition: Why Minds are Not Machines is a scholarly book, authored by James H. Fetzer [1]. ...
en.wikipedia.org/ wiki/ Computers_and_Cognition

Truth and Reality
[PV] James H Fetzer: Program Verifaction: The Very Idea; 183-220 in: James H Fetzer: Computers and Cognition: Why Minds are not Machines; Kluwer 2001. ...
www.cs.mun.ca/ ~ulf/ gloss/ real.html

References
University of Pretoria etd – Murphy, R (2007). 437. References. 1. Abbott, ea (1992). Flatland: a romance of many dimensions. ...
upetd.up.ac.za/ thesis/ available/ etd-09302007-162044/ unrestricted/ 07back.pdf