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

Varunyu Vorachart, Hideyuki Takagi

研究成果: Contribution to journalArticle査読

4 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 1 2017

All Science Journal Classification (ASJC) codes

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

フィンガープリント 「Evolving fuzzy logic rule-based game player model for game development」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル