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 |
巻 | 13 |
号 | 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