Online Adaptation of Computer Game Opponent AI
نویسندگان
چکیده
Online learning in commercial computer games allows computer-controlled opponents to adapt to human player tactics. For online learning to work in practice, it must be fast, effective, robust, and efficient. This paper proposes a technique called “dynamic scripting” that meets these requirements. In dynamic scripting an adaptive rule-base is used for the generation of intelligent opponents on the fly. The adaptive performance of dynamic scripting is evaluated in an experiment in which the adaptive players are pitted against a collective of manually designed tactics in a simulated computer roleplaying game. The results indicate that dynamic scripting succeeds in endowing characters with adaptive performance. We therefore conclude that dynamic scripting can be successfully applied to the online adaptation of computer game opponents.
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On-Line Adaptation of Game Opponent AI in Simulation and in Practice
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