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Computational Intelligence in Games (Hardcover, 2001 ed.)
Loot Price: R2,860
Discovery Miles 28 600
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Computational Intelligence in Games (Hardcover, 2001 ed.)
Series: Studies in Fuzziness and Soft Computing, 62
Expected to ship within 10 - 15 working days
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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."
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