Kumpati S. Narendra, Mandayam A. L. Thathachar

Learning Automata (eBook, ePUB)

An Introduction

• Format: ePub

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, D ausgeliefert werden.

Produktdetails

• Verlag: Guilford Publications
• Seitenzahl: 496
• Erscheinungstermin: 29. April 2013
• Englisch
• ISBN-13: 9780486268460
• Artikelnr.: 39864809

Autorenporträt

Kumpati S. Narendra and Mandayam A. L. Thathachar