Confirmation and the computational paradigm, or, why do you think they call it artificial intelligence? [Book Review]
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Minds and Machines 3 (2):155-81 (1993)
The idea that human cognitive capacities are explainable by computational models is often conjoined with the idea that, while the states postulated by such models are in fact realized by brain states, there are no type-type correlations between the states postulated by computational models and brain states (a corollary of token physicalism). I argue that these ideas are not jointly tenable. I discuss the kinds of empirical evidence available to cognitive scientists for (dis)confirming computational models of cognition and argue that none of these kinds of evidence can be relevant to a choice among competing computational models unless there are in fact type-type correlations between the states postulated by computational models and brain states. Thus, I conclude, research into the computational procedures employed in human cognition must be conducted hand-in-hand with research into the brain processes which realize those procedures
|Keywords||Artificial Intelligence Computation Paradigm Physicalism Science|
|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
Subrata Dasgupta (2008). Shedding Computational Light on Human Creativity. Perspectives on Science 16 (2):pp. 121-136.
David J. Chalmers (2011). A Computational Foundation for the Study of Cognition. Journal of Cognitive Science 12 (4):323-357.
Jeffrey White (forthcoming). Manufacturing Morality A General Theory of Moral Agency Grounding Computational Implementations: The ACTWith Model. In Computational Intelligence. Nova Publications.
David Casacuberta Sevilla (2013). The Quest for Artificial Wisdom. AI and Society 28 (2):199-207.
Mr Peter R. Krebs, Smoke Without Fire: What Do Virtual Experiments in Cognitive Science Really Tell Us?
Paul Thagard (1982). Artificial Intelligence, Psychology, and the Philosophy of Discovery. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:166 - 175.
Michael Losonsky (1995). Emdedded Systems Vs. Individualism. Minds and Machines 5 (3):357-71.
Paul Thagard (1986). Computational Models in the Philosophy of Science. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:329 - 335.
Paul R. Thagard (2002). How Molecules Matter to Mental Computation. Philosophy of Science 69 (3):497-518.
Added to index2009-01-28
Total downloads18 ( #88,049 of 1,096,482 )
Recent downloads (6 months)6 ( #34,641 of 1,096,482 )
How can I increase my downloads?