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http://dx.doi.org/10.7583/JKGS.2021.21.6.87

Case study of property extraction and utilization model for the game player models  

Yoon, Taebok (Dept. of Software Engineering, Seoil University)
Yang, Seong-Il (Contents Research Division, ETRI)
Publication Information
Journal of Korea Game Society / v.21, no.6, 2021 , pp. 87-96 More about this Journal
Abstract
As the industry develops, the technology used for games is also being advanced. In particular, AI technology is used to game automation and intelligence. These game player patterns are widely used in online games such as player matchmaking, generation of friendly or hostile NPCs, and balancing of game worlds. This study proposes a model generation method for game players. For model generation, attributes such as hunting, collection, movement, combat, crisis management, production, and interaction were defined, and patterns were extracted and modeled using decision tree method. To evaluate the proposed method, we used the game log of a commercial game and confirmed the meaningful results.
Keywords
Game player model; Game AI; Game bot detection;
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