A. Symeonidis and P. Mitkas, A Methodology for Predicting Agent Behavior by the Use of Data Mining Techniques Autonomous Intelligent Systems: Agents and Data Mining

T. Nakashima and H. Ishibuchi, 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

T. Nakashima, T. Uenishi, and Y. Narimoto, Off-line learning of soccer formations from game logs, World Automation Congress, pp.1-6, 2010.

B. M. Faria, L. P. Reis, N. Lau, and G. Castillo, 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

D. &. Ball and G. Wyeth, Classifying an opponents behavior in robot soccer, Proceedings of the Australasian Conference on Robotics and Automation, Australia, 2003.

A. Ledezma, R. Aler, A. Sanchis, and D. Borrajo, OMBO: An opponent modeling approach, pp.21-35, 2009.

R. Fathzadeh, V. Mokhtari, and M. R. Kangavari, Opponent Provocation and Behavior Classification: A Machine Learning Approach, pp.540-547, 2007.
DOI : 10.1007/978-3-540-68847-1_58

J. A. Iglesias, A. Ledezma, and ,. A. Sanchis, CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach, Computing and informatics Journal, vol.28, issue.1, pp.57-80, 2009.

G. Kuhlmann, W. B. Knox, and P. Stone, Know thine enemy: A champion RoboCup coach agent, Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp.1463-68, 2006.

G. Kuhlmann, P. Stone, and J. Lallinger, 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

F. Eibe and I. H. Witten, Generating Accurate Rule Sets without Global Optimization, Proceedings of the 15 th International Conference on Machine Learning, 1998.

. Simspark, http://simspark.sourceforge.net/wiki/index.php/Main_Page

. Roboviz-official-webiste, https://sites.google.com/site

G. Holmes, A. Donkin, and I. H. Witten, WEKA: a machine learning workbench, Proceedings of ANZIIS '94, Australian New Zealnd Intelligent Information Systems Conference, 1994.
DOI : 10.1109/ANZIIS.1994.396988