Most modern real-time strategy computer games have a sophisticated but fixed 'AI' component that controls the computer's actions. Once the user has learned how such a game will react, the game quickly loses its appeal. This paper describes an example of how a learning classifier system (based on Wilson's ZCS [1]) can be used to equip the computer with dynamically-changing strategies that respond to the user's strategies, thus greatly extending the games playability for serious gamers. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Falke, W. J., & Ross, P. (2003). Dynamic strategies in a real-time strategy game. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2724, 1920–1921. https://doi.org/10.1007/3-540-45110-2_89
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