A data mining approach to strategy prediction

Abstract

We present a data mining approach to opponent modeling in strategy games. Expert gameplay is learned by applying machine learning techniques to large collections of game logs. This approach enables domain independent algorithms to acquire domain knowledge and perform opponent modeling. Machine learning algorithms are applied to the task of detecting an… (More)
DOI: 10.1109/CIG.2009.5286483

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@article{Weber2009ADM, title={A data mining approach to strategy prediction}, author={Ben George Weber and Michael Mateas}, journal={2009 IEEE Symposium on Computational Intelligence and Games}, year={2009}, pages={140-147} }