Evolutionary behavior testing of commercial computer games

Abstract

We present an approach to use evolutionary learning of behavior to improve testing of commercial computer games. After identifying unwanted results or behavior of the game, we propose to develop measures on how near a sequence of game states comes to the unwanted behavior and to use these measures within the fitness function of a GA working on action… (More)
DOI: 10.1109/CEC.2004.1330847

Topics

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