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.
ASIN: 0486498778
VSKU: PKV.0486498778.G
Condition: Good
Author/Artist:Narendra, Kumpati S.|Thathachar, Mandayam A.L.
Binding: Paperback
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: A well-loved companion. Corners and cover might show a little wear, and you could find some notes or highlights. The dust jacket might be MIA, it might have been a library book and extras aren't guaranteed—but the story's all there!