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Dynamic Strategies in a Real-Time Strategy Game
William Joseph Falke II and Peter Ross
School of Computing, Napier University
10 Colinton Road
Edinburgh EH10 5DT, UK
joe@bongofury.vispa.comP.Ross@napier.ac.uk
Abstract. 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.
LNCS 2724, p. 1920 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003