2004 | OriginalPaper | Buchkapitel
Using the Opponent Pass Modeling Method to Improve Defending Ability of a (Robo)Soccer Simulation Team
verfasst von : Jafar Habibi, Hamid Younesy, Abbas Heydarnoori
Erschienen in: RoboCup 2003: Robot Soccer World Cup VII
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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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 [1] 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.