This lab is quite diverse. It is comprised of a group of really smart people from all over the world, each with different backgrounds, working in a friendly and welcoming environment. Being part of it has been such an enriching experience.
Using the Opponent Pass Modeling Method to Improve Defending Ability of a (Robo)Soccer Simulation Team
| Title | Using the Opponent Pass Modeling Method to Improve Defending Ability of a (Robo)Soccer Simulation Team |
| Publication Type | Conference Proceedings |
| Year of Publication | 2004 |
| Authors | Habibi, J., H. Younesy, and A. Heydarnoori |
| Conference Name | RoboCup’2003 International Symposium |
| Series Title | Lecture Notes in Computer Science |
| Volume | 3020 |
| Publisher | Springer-Verlag |
| Conference Location | Italy |
| Abstract | Modeling agents' behavior has always been a challenge in multiagent systems. In a competitive environment, predicting future behaviors of opponents helps to make plans to confront their actions properly. We have used the RoboCup soccer server environment to design a coach, capable of analyzing simulated soccer games and making decisions to improve teammate players’ behavior during the games. We will introduce our "Opponent Pass Modeling" method which makes a model of opponent team's passing behavior to guard opponent players and as a result, to improve the defending behavior of our team. We will also describe a new approach to evaluate coach algorithms using soccer server log-files and LogCoach tool. |
| DOI | 10.1007/978-3-540-25940-4_50 |
| Refereed Designation | Refereed |
