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

Varunyu Vorachart, Hideyuki Takagi

研究成果: Contribution to journalArticle査読

5 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 1 2017

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics

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