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Incremental learning algorithm for online action game system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5709 LNCS 319-322
DOI: 10.1007/978-3-642-04052-8_51
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Abstract

One of the limitations of computer opponents in action games is that the character AI is constructed in advance, and players may become bored quickly. We have built an online action game system in which a non-player character (NPC) can incrementally learn sequences of action and combinations. NPCs can adopt different fighting strategies for fighting with different players. © 2009 Springer.

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Hoshino, J., & Mori, H. (2009). Incremental learning algorithm for online action game system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5709 LNCS, pp. 319–322). Springer Verlag. https://doi.org/10.1007/978-3-642-04052-8_51

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