Computational Intelligence in Games

. Ed(s): Baba, Norio

ISBN 10: 3662003694 / ISBN 13: 9783662003695

Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2012

Editor(s): Baba, Norio. Series: Studies in Fuzziness and Soft Computing. Num Pages: 161 pages, 11 black & white tables, biography. BIC Classification: GPFC; PBUD; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 10. Weight in Grams: 278. . 2012. Softcover reprint of the original 1st ed. 2001. Paperback. . . . . Codice articolo V9783662003695

Riassunto:

The most powerful computers in the world are not only used for scientific research, defence, and business, but also in game playing. Computer games are a multi-billion dollar industry. Recent advances in computational intelligence paradigms have generated tremendous interest among researchers in the theory and implementation of games. Game theory is a branch of operational research dealing with decision theory in a competitive situation. Game theory involves the mathematical calculations and heuristics to optimize the efficient lines of play. This book presents a sample of the most recent research on the application of computational intelligence techniques in games. This book contains 7 chapters. The first chapter, by Chen, Fanelli, Castellano, and Jain, is an introduction to computational intelligence paradigms. It presents the basics of the main constituents of compu­ tational intelligence paradigms including knowledge representation, probability-based approaches, fuzzy logic, neural networks, genetic algorithms, and rough sets. In the second chapter, Chellapilla and Fogel present the evolution of a neural network to play checkers without human expertise. This chapter focuses on the use of a population of neural networks, where each network serves as an evaluation function to describe the quality of the current board position. After only a little more than 800 generations, the evolutionary process has generated a neural network that can play checkers at the expert level as designated by the u.s. Chess Federation rating system. The program developed by the authors has also competed well against commercially available software.

Dalla quarta di copertina: The recent advances in computational intelligence paradigms have generated tremendous interest among researchers in the theory and implementation of games. Game theory involves the mathematical calculations and heuristics to optimize the efficient lines of play. This book presents the main constituents of computational intelligence paradigms including knowledge representation, probability-based approaches, fuzzy logic, neural networks, genetic algorithms, and rough sets. It includes a new approach of evolving a neural network to play checkers without human expertise. The book will be useful to researchers and practitioners who are interested in developing game techniques in computational intelligence environment.

Dati bibliografici

Titolo: Computational Intelligence in Games
Casa editrice: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Data di pubblicazione: 2012
Legatura: Brossura
Condizione: New