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)

    抄録

    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.

    本文言語英語
    ページ(範囲)1941-1951
    ページ数11
    ジャーナルInternational Journal of Innovative Computing, Information and Control
    13
    6
    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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