@proceedings {394,
	title = {Using the Opponent Pass Modeling Method to Improve Defending Ability of a (Robo)Soccer Simulation Team},
	journal = {RoboCup{\textquoteright}2003 International Symposium},
	volume = {3020},
	year = {2004},
	publisher = {Springer-Verlag},
	address = {Italy},
	abstract = {Modeling agents{\textquoteright} 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{\textquoteright} behavior during the games. We will introduce our "Opponent Pass Modeling" method which makes a model of opponent team{\textquoteright}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},
	author = {Jafar Habibi and Hamidreza Younesy and Abbas Heydarnoori}
}