Evolution of reactive rules in multi player computer games based on imitation
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Because of the rapid progress of commercial computer games in recent years the development of artificial characters that inhabit the presented game worlds has become a challenging task with very specific requirements. A very important feature of artificial intelligence for games is that, as the objective of computer games is the entertainment of the player, the artificial game agents should not only be competitive but also show intelligent and human-like behaviours. Therefore, this paper proposes the usage of imitation techniques to generate more human-like behaviours in an action game, whereas the imitation is achieved by recording players and by using these recordings as the basis of an evolutionary learning approach.