Abstract
In this paper, we propose a method to obtain strategy coalitions, whose confidences are adjusted by genetic algorithm to improve the generalization ability, in the process of co-evolutionary learning with a social game called Iterated Prisoner’s Dilemma (IPD) game. Experimental results show that several better strategies can be obtained through strategy coalition, and evolutionary optimization of the confidence for strategies within coalition improves the generalization ability.
| Original language | English |
|---|---|
| Title of host publication | New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings |
| Editors | Takao Terano, Yukio Ohsawa, Toyoaki Nishida, Akira Namatame, Syusaku Tsumoto, Takashi Washio |
| Publisher | Springer Verlag |
| Pages | 185-194 |
| Number of pages | 10 |
| ISBN (Print) | 9783540455486 |
| DOIs | |
| Publication status | Published - 2001 |
| Event | 15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001 - Matsue City, Japan Duration: 2001 May 20 → 2001 May 25 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2253 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001 |
|---|---|
| Country/Territory | Japan |
| City | Matsue City |
| Period | 01/5/20 → 01/5/25 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2001.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)