Learning Automata

An Introduction

Nonfiction, Science & Nature, Technology, Engineering, Industrial
Cover of the book Learning Automata by Kumpati S. Narendra, Mandayam A.L. Thathachar, Dover Publications
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Author: Kumpati S. Narendra, Mandayam A.L. Thathachar ISBN: 9780486268460
Publisher: Dover Publications Publication: May 27, 2013
Imprint: Dover Publications Language: English
Author: Kumpati S. Narendra, Mandayam A.L. Thathachar
ISBN: 9780486268460
Publisher: Dover Publications
Publication: May 27, 2013
Imprint: Dover Publications
Language: English

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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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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