Conference Paper

Rethinking Methodological Issues in Cognitive Science and AI: Computational Neuroepistemology, Philosophy of Science, and Knowledge Representation.

January 1995

Source
DBLP

Authors:

Markus F. Peschl

University of Vienna

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ResearchGate has not been able to resolve any references for this publication.

Article

Connectionist nets are only good models if we know what they model

January 1998

C.D. Green

Lee, Van Heuveln, Morrison, & Dietrich (1998) suggest, incorrectly, that I argued (Green 1998a) that connectionist networks will not be scientific models unless and until they capture every aspect of neural activity. What I argued was that unless and until connectionists come to terms with the idea that connectionist networks must model SOMETHING (and neural activity currently seems to be the ... [Show full abstract] best candidate, but it need not be the only one) they are not models of anything at all, and therefore may have little role to play in cognitive science.

Chapter

Computational Philosophy of Science

January 2001

Theo A. F. Kuipers

Computational philosophy of science is a collaboration between the philosophy of science and cognitive science. Cognitive science is itself a joint venture involving cognitive psychology, artificial intelligence research, neuroscience, linguistics, anthropology, and philosophy (Stillings et al., 1987), suggesting many interesting problems for philosophers of science (see Bechtel, 1988a). As ... [Show full abstract] illustrated in Chapter 6, Bechtel pays quite a lot of attention to reductionistic and nonreductionistic possibilities for co-operation between the disciplines involved.

Rethinking Methodological Issues in Cognitive Science and AI: Computational Neuroepistemology, Philosophy of Science, and Knowledge Representation.

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Connectionist nets are only good models if we know what they model

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