Overview

Connectionism is a ""hands on"" introduction to connectionist modeling through practical exercises in different types of connectionist architectures. explores three different types of connectionist architectures – distributed associative memory, perceptron, and multilayer perceptron provides a brief overview of each architecture, a detailed introduction on how to use a program to explore this network, and a series of practical exercises that are designed to highlight the advantages, and disadvantages, of each accompanied by a website at http://www.bcp.psych.ualberta.ca/~mike/Book3/ that includes practice exercises and software, as well as the files and blank exercise sheets required for performing the exercises designed to be used as a stand-alone volume or alongside Minds and Machines: Connectionism and Psychological Modeling (by Michael R.W. Dawson, Blackwell 2004)

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9781405128070

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?This is a first-rate textbook, Enabling readers to perform simulations described, it provides a very user-friendly introduction to the essential material, which it sets in an engaging, historically informed context.? Anne Jaap Jacobson, University of Houston

?This is a first-rate textbook, Enabling readers to perform simulations described, it provides a very user-friendly introduction to the essential material, which it sets in an engaging, historically informed context.? Anne Jaap Jacobson, University of Houston

This is a first-rate textbook, Enabling readers to perform simulations described, it provides a very user-friendly introduction to the essential material, which it sets in an engaging, historically informed context. Anne Jaap Jacobson, University of Houston

Author Information

Michael R. W. Dawson is a member of the Department of Psychology and the Biological Computation Project at the University of Alberta, Canada. He is the author of Understanding Cognitive Science (Blackwell , 1998) and Minds and Machines (Blackwell, 2004).

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