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2006
Springer

Attaining Human-Competitive Game Playing with Genetic Programming

10 years 5 months ago
Attaining Human-Competitive Game Playing with Genetic Programming
Abstract— We have recently shown that genetically programming game players, after having imbued the evolutionary process with human intelligence, produces human-competitive strategies for three games: backgammon, chess endgames, and robocode (tank-fight simulation). Evolved game players are able to hold their own—and often win—against human or human-based competitors. This paper has a twofold objective: first, to review our recent results of applying genetic programming in the domain of games; second, to formulate the merits of genetic programming in acting as a tool for developing strategies in general, and to discuss the possible design of a strategizing machine.
Moshe Sipper
Added 13 Jun 2010
Updated 13 Jun 2010
Type Conference
Year 2006
Where ACRI
Authors Moshe Sipper
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