| Learning Automata: An Introduction Contributor(s): Narendra, Kumpati S. (Author), Thathachar, Mandayam A. L. (Author) |
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ISBN: 0486498778 ISBN-13: 9780486498775 Publisher: Dover Publications OUR PRICE: $22.46 Product Type: Paperback - Other Formats Published: December 2012 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Technology & Engineering | Industrial Engineering |
| Dewey: 006.31 |
| LCCN: 2012024929 |
| Series: Dover Books on Electrical Engineering |
| Physical Information: 1" H x 6.4" W x 8.9" (1.00 lbs) 496 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |