Description
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)
About the Author
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).
Reviews
"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
Book Information
ISBN 9781405128070
Author Michael R. W. Dawson
Format Paperback
Page Count 208
Imprint Wiley-Blackwell
Publisher John Wiley and Sons Ltd
Weight(grams) 381g
Dimensions(mm) 246mm * 170mm * 15mm
