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.