Description - Connectionism by Michael R. W. Dawson
"Connectionism" is a 'hands on' introduction to connectionist modeling through practical exercises in different types of connectionist architectures. It explores three different types of connectionist architectures - distributed associative memory, perceptron, and multilayer perceptron. It 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, 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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(251mm x 178mm x 20mm)
Blackwell Publishing Ltd
Publisher: John Wiley and Sons Ltd
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Author Biography - Michael R. W. Dawson
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).