by JohnStaddon (Editor), StephenGrossberg (Editor), Stephen Grossberg (Editor), John Staddon (Editor), Michael L. Commons (Editor), Michael L . Commons (Editor)
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.
Format: Paperback
Pages: 384
Edition: 1
Publisher: Routledge
Published: 16 Jun 2018
ISBN 10: 1138192120
ISBN 13: 9781138192126