9780486498775: Learning Automata: An Introduction

Sinossi

This self-contained introductory text on the behavior of learning automata focuses on how a sequential decision-maker with a finite number of choices responds in a random environment. Topics include fixed structure automata, variable structure stochastic automata, convergence, 0 and S models, nonstationary environments, interconnected automata and games, and applications of learning automata. A must for all students of stochastic algorithms, this treatment is the work of two well-known scientists and is suitable for a one-semester graduate course in automata theory and stochastic algorithms. This volume also provides a fine guide for independent study and a reference for students and professionals in operations research, computer science, artificial intelligence, and robotics. The authors have provided a new preface for this edition.

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Informazioni sull?autore

American control theorist Kumpati S. Narendra currently holds the Harold W. Cheel Professorship of Electrical Engineering at Yale University.
Mandayam A. L. Thathachar is a professor at the Indian Institute of Science in Bangalore, India.

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Altre edizioni note dello stesso titolo

9780135270110: Learning Automata: An Introduction

Edizione in evidenza

ISBN 10:  0135270111 ISBN 13:  9780135270110
Casa editrice: Prentice-Hall, 1989
Brossura