Evolving fuzzy logic rule-based game player model for game development

Varunyu Vorachart, Hideyuki Takagi

    研究成果: ジャーナルへの寄稿学術誌査読

    8 被引用数 (Scopus)


    We propose a framework for automatic game parameter tuning using a game player model. Two kinds of computational intelligence techniques are used to create the framework: a fuzzy logic system (FS) as the decision maker and evolutionary computation as the model parameter optimizer. Insights from a game developer are integrated into the player model consisting of FS rules. FS membership function parameters are optimized by a differential evolution (DE) algorithm to find optimal model parameters. We conducted experiments in which our player model plays a turn-based strategy video game. DE optimization was able to evolve our player model such that it could compete well at various levels of game difficulty.

    ジャーナルInternational Journal of Innovative Computing, Information and Control
    出版ステータス出版済み - 12月 1 2017

    !!!All Science Journal Classification (ASJC) codes

    • ソフトウェア
    • 理論的コンピュータサイエンス
    • 情報システム
    • 計算理論と計算数学


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