Neural Network Models of Conditioning and Action (Paperback)

Originally published in 1991, this title was the result of a symposium held at Harvard University. It presents some of the exciting interdisciplinary developments of the time that clarify how animals and people learn to behave adaptively in a rapidly changing environment. The contributors focus on aspects of how recognition learning, reinforcement learning, and motor learning interact to generate adaptive goal-oriented behaviours that can satisfy internal needs - an area of inquiry as important for understanding brain function as it is for designing new types of freely moving autonomous robots. Since the authors agree that a dynamic analysis of system interactions is needed to understand these challenging phenomena - and neural network models provide a natural framework for representing and analysing such interactions - all the articles either develop neural network models or provide biological constraints for guiding and testing their design.

General

Imprint:	Routledge
Country of origin:	United Kingdom
Series:	Psychology Library Editions: Cognitive Science
Release date:	June 2018
First published:	1991
Editors:	Michael L. Commons • Stephen Grossberg • John Staddon
Dimensions:	234 x 156 x 28mm (L x W x T)
Format:	Paperback
Pages:	362
ISBN-13:	978-1-138-19212-6
Categories:	Books > Social sciences > Psychology > Cognition & cognitive psychology > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Science & Mathematics > Biology, life sciences > Zoology & animal sciences > Animal behaviour Promotions
LSN:	1-138-19212-0
Barcode:	9781138192126

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