Abstract
In this paper we will describe our research in case of using Expert System as a decision-making system. We made our attempt to expose a base strategy from past log files and implement an online learning system which receives information from the environment. In developing the coach, the main research effort comprises two complementary parts: (a) Design a rule-based expert system in which its task is to analyze the game (b) Employing the decision-making trees for generating advice. Considering these two methods, coach learns to predict agent behavior and automatically generates advice to improve team's performance. This structure is tested previously in RoboCup Soccer Coach Simulation League. Using this approach, the MRLCoach2004 took first place in the competition held in 2004. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Fathzadeh, R., Mokhtari, V., Mousakhani, M., & Shahri, A. M. (2006). Coaching with expert system towards RoboCup soccer coach simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4020 LNAI, pp. 488–495). Springer Verlag. https://doi.org/10.1007/11780519_45
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