Learning Automata
An Introduction| By: | Kumpati S. Narendra; Mandayam A.L. Thathachar |
| Publisher: | Dover Publications |
| Print ISBN: | 9780486498775 |
| eText ISBN: | 9780486268460 |
| Edition: | 0 |
| Format: | Reflowable |
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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.