学術雑誌論文 EVOLVING FUZZY LOGIC RULE-BASED GAME PLAYER MODEL FOR GAME DEVELOPMENT

Vorachart, Varunyu  ,  Takagi, Hideyuki

内容記述
We propose a framework for automatic game parameter tuning using a gameplayer model. Two kinds of computational intelligence techniques are used to create theframework: a fuzzy logic system (FS) as the decision maker and evolutionary computa-tion as the model parameter optimizer. Insights from a game developer are integratedinto the player model consisting of FS rules. FS membership function parameters areoptimized by a differential evolution (DE) algorithm to find optimal model parameters.We conducted experiments in which our player model plays a turn-based strategy videogame. DE optimisation was able to evolve our player model such that it could competewell at various levels of game difficulty.
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http://catalog.lib.kyushu-u.ac.jp/handle/2324/1868357/VV2017a_EvolvingPlayerModel.pdf

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