David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
In The Proceedings of the Twentieth World Congress of Philosophy. Charlottesville: Philosophy Doc Ctr 103-113 (2000)
When computing is defined as the causal implementation of algorithms and algorithms are defined as effective decision procedures, human thought is mental computation only if it is governed by mental algorithms. An examination of ordinary thinking, however, suggests that most human thought processes are non-algorithmic. Digital machines, moreover, are mark-manipulating or string-processing systems whose marks or strings do not stand for anything for those systems, while minds are semiotic (or “signusing”) systems for which signs stand for other things for those systems. Computing, at best, turns out to be no more than a special kind of thinking
|Keywords||Causation Computing Thinking|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Deborah G. Johnson (1985). Equal Access to Computing, Computing Expertise, and Decision Making About Computers. Business and Professional Ethics Journal 4 (3/4):95-104.
Matti Tedre (2011). Computing as a Science: A Survey of Competing Viewpoints. [REVIEW] Minds and Machines 21 (3):361-387.
Uri Pincas (2011). Program Verification and Functioning of Operative Computing Revisited: How About Mathematics Engineering? [REVIEW] Minds and Machines 21 (2):337-359.
Gualtiero Piccinini (2007). Computing Mechanisms. Philosophy of Science 74 (4):501-526.
Derek Partridge (1995). On the Difficulty of Really Considering a Radical Novelty. Minds and Machines 5 (3):391-410.
Gheorghe Paun & Mario J. Pérez-Jiménez (2003). Recent Computability Models Inspired From Biology: DNA and Membrane Computing. Theoria 18 (1):71-84.
Lynette Hunter (1999). Critiques of Knowing: Situated Textualities in Science, Computing, and the Arts. Routledge.
James H. Fetzer (1997). Thinking and Computing: Computers as Special Kinds of Signs. [REVIEW] Minds and Machines 7 (3):345-364.
Added to index2009-01-28
Total downloads15 ( #249,386 of 1,911,647 )
Recent downloads (6 months)4 ( #180,081 of 1,911,647 )
How can I increase my downloads?