Computational Intelligence in Games

N. Baba, Lakhmi C. Jain

161 pages, parution le 01/02/2001

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Résumé

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.

Contents

Introduction to computational intelligence paradigms.
Evolving a neural network to play checkers without human expertise.
Retrograde analysis of patterns versus metaprogramming.
Learning to evaluate Go positions via temporal difference methods.
Model-based reinforcement learning for evolving soccer strategies.
Fuzzy rule-based strategy for a market selection game.

L'auteur - N. Baba

Osaka Kyoiku University, Kashiwara, Japan

L'auteur - Lakhmi C. Jain

University of South Australia, Adelaide, SA, Australia.
Editor

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	N. Baba, Lakhmi C. Jain
Parution	01/02/2001
Nb. de pages	161
Format	15,5 x 24
Couverture	Relié
Poids	370g
Intérieur	Noir et Blanc
EAN13	9783790813487