BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier
This paper reports on the application of sequence analysis algorithms for agents in robotic soccer and a suitable representation is proposed to achieve this mapping.The objective of this research is to generate novel better in-game strategies with the aim of faster adaptation to the changing enviro...
Saved in:
| Main Authors: | , , |
|---|---|
| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2008
|
| 主題: | |
| 在線閱讀: | http://repo.uum.edu.my/11268/1/25-34-CR40.pdf http://repo.uum.edu.my/11268/ http://www.kmice.uum.edu.my |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 機構: | Universiti Utara Malaysia |
| 語言: | English |
| 總結: | This paper reports on the application of
sequence analysis algorithms for agents in robotic soccer and a suitable representation is proposed to achieve this mapping.The objective of this research is to generate novel better in-game strategies with the aim of faster adaptation to the changing environment.A homogeneous non-communicating multi-agent architecture using the representation is presented.To achieve real-time learning during a game, a bucket brigade algorithm is used to reinforce Cellular Automata Based Classifier. A technique for selecting strategies based on sequence analysis is adopted. |
|---|