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GAMEON
2007

Map-Adaptive Artificial Intelligence for Video Games

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Map-Adaptive Artificial Intelligence for Video Games
This paper proposes an approach to automatically adapt game AI to the environment of the game (i.e., the socalled map). In the approach, a particular map is first analysed for specific features. Subsequently, an automatically established decision tree is applied to adapt the game AI according to the features of the map. Experiments that test our approach are performed in the RTS game Spring. From our results we may conclude that the approach can be used to automatically establish effective strategies dependent on the map of a game.
Laurens van der Blom, Sander Bakkes, Pieter Spronc
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where GAMEON
Authors Laurens van der Blom, Sander Bakkes, Pieter Spronck
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