| 演題番号 | 1C5-2 |
|---|---|
| 題目 | Is XCS approach good for Organizational-Learning Oriented Classifier Systems? |
| 著者 | Irvan Mhd(Tokyo Institute of Technology, Department of Computational Intelligence and Systems Science) Yamada Takashi(Tokyo Institute of Technology) Terano Takao(Tokyo Institute of Technology) |
| 時間 | 06月09日(Wed) 18:05〜18:25 |
| 概要 | We analyze the performance of the agents of organizational-learning oriented classifier systems (OCS) with and without the implementation of XCS decision criterion inside a Pac-Man world. The agents act as the enemies of Pac-Man. Pac-Man is controlled by random movements and several different Pac-Man's artificial intelligence algorithms proposed in other researches. If they capture Pac-Man, the organizational performance is indicated by the number of remaining dots and the amount of time required for capturing Pac-Man. If they fail to capture Pac-Man, the organizational performance is indicated by the amount of time required by Pac-Man to eat all dots. |
| 論文 | PDFファイル |