Computational Intelligence in Games
By: edited by Norio Baba, Lakhmi C. Jain
Contributors: Jain, Lakhmi C.
Series: Studies in Fuzziness and Soft Computing -- 62; Studies in Fuzziness and Soft Computing -- 62
Publisher: Physica-Verlag HD; Imprint: Physica
Published: 2001
Place of publication: Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 161
ISBN-13: 9783662003695; 9783790818338
Subjects: Mathematical Economics; Engineering; Physics; Computer science; Artificial intelligence
Description: 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.
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Also available in print.

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