A Methodology for Predicting Agent Behavior by the Use of Data Mining Techniques Autonomous Intelligent Systems: Agents and Data Mining ,
Mimicking Dribble Trajectories by Neural Networks for RoboCup Soccer Simulation, 2007 IEEE 22nd International Symposium on Intelligent Control, pp.658-663, 2007. ,
DOI : 10.1109/ISIC.2007.4450963
Off-line learning of soccer formations from game logs, World Automation Congress, pp.1-6, 2010. ,
Machine Learning algorithms applied to the classification of robotic soccer formations and opponent teams, 2010 IEEE Conference on Cybernetics and Intelligent Systems, pp.344-349, 2010. ,
DOI : 10.1109/ICCIS.2010.5518540
Classifying an opponents behavior in robot soccer, Proceedings of the Australasian Conference on Robotics and Automation, Australia, 2003. ,
OMBO: An opponent modeling approach, pp.21-35, 2009. ,
Opponent Provocation and Behavior Classification: A Machine Learning Approach, pp.540-547, 2007. ,
DOI : 10.1007/978-3-540-68847-1_58
CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach, Computing and informatics Journal, vol.28, issue.1, pp.57-80, 2009. ,
Know thine enemy: A champion RoboCup coach agent, Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp.1463-68, 2006. ,
The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach, pp.636-644, 2005. ,
DOI : 10.1007/978-3-540-32256-6_61
Generating Accurate Rule Sets without Global Optimization, Proceedings of the 15 th International Conference on Machine Learning, 1998. ,
http://simspark.sourceforge.net/wiki/index.php/Main_Page ,
https://sites.google.com/site ,
WEKA: a machine learning workbench, Proceedings of ANZIIS '94, Australian New Zealnd Intelligent Information Systems Conference, 1994. ,
DOI : 10.1109/ANZIIS.1994.396988