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The Metaphorical Brain 2: Neural Networks and Beyond
     

The Metaphorical Brain 2: Neural Networks and Beyond

by Michael A. Arbib
 

The Metaphorical Brain 2 Neural Networks and Beyond "This book combines two exciting quests, the quest to understand the workings of the human brain and the quest to build intelligent machines. It shows how each quest can provide insights vital to the success of the other. It develops basic ideas about neural networks, both artificial and biological, and introduces

Overview

The Metaphorical Brain 2 Neural Networks and Beyond "This book combines two exciting quests, the quest to understand the workings of the human brain and the quest to build intelligent machines. It shows how each quest can provide insights vital to the success of the other. It develops basic ideas about neural networks, both artificial and biological, and introduces the language of schema theory to describe the distributed interactions that underlie intelligence in the brain of human, animal or robot. It reaffirms the paradigm of highly distributed cooperative computation, showing how it not only deepens our understanding of human mind/brain, but also catalyzes the development of a new generation of computing machinery. The book presents many new results, both from my own group and elsewhere, that have enriched that paradigm during the last fifteen years.…The book as a whole, although by no means light reading, should be accessible overall to anyone who reads Scientific American; but it is hoped that much of the material merits the attention not only of ‘the intelligent laymen’ but also of experts and serious students of artificial intelligence, neural networks, robotics, cognitive science, or neuroscience." —From the Author’s Preface

Product Details

ISBN-13:
9780471098539
Publisher:
Wiley
Publication date:
01/28/1989
Pages:
458
Product dimensions:
7.20(w) x 10.24(h) x 1.57(d)

Meet the Author

About the author Michael A. Arbib, PhD, is a professor in both the Neural, Informational, and Behavioral Sciences Program and the Computer Science Department, University of Southern California. Born in England, he grew up in Australia, where he received his BSc in pure mathematics from Sydney University. He later received his doctorate from MIT for a thesis on probability theory. Formerly, he was a professor of computer and information science, an adjunct professor of psychology, and Director of both the Center for Systems Neuroscience and the Laboratory for Perceptual Robotics at the University of Massachusetts, Amherst. Among the seventeen books which he has authored or edited are Brains, Machines and Mathematics, Computers and the Cybernetic Society, and The Construction of Reality

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