Learning Automata: An Introduction

By Kumpati S. Narendra, Mandayam A. L. Thathachar, Mandayam A. Thathachar, et al.

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 0486498778
• ISBN13: 9780486498775
• Release Date: December 2012
• Publisher: Dover Publications
• Length: 496 Pages
• Weight: 1.50 lbs.
• Dimensions: 1.0" x 6.4" x 8.9"