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GECCO
2003
Springer

Dynamic Strategies in a Real-Time Strategy Game

9 years 10 months ago
Dynamic Strategies in a Real-Time Strategy Game
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. 1 The Game and the Classifier System Real-time strategy (RTS) games typically involve fighting a battle against a computer opponent. This opponent typically has a very sophisticated but essentially static strategy and once the user has learned how it behaves, the game loses its playability. To get round this limitation we have used a learning classifier system (LCS) to provide the computer with the capability to dynamically change its strategy. LCSs are sometimes criticized for be...
William Joseph Falke II, Peter Ross
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where GECCO
Authors William Joseph Falke II, Peter Ross
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