Coaching with expert system towards robocup soccer coach simulation

Authors:
Ramin Fathzadeh;Vahid Mokhtari;Morteza Mousakhani;Alireza Mohammad Shahri
Affiliations:
Young Researchers Club, Mechatronics Research Laboratory, Department of Computer Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran;Young Researchers Club, Mechatronics Research Laboratory, Department of Computer Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran;Young Researchers Club, Mechatronics Research Laboratory, Department of Computer Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran;Electrical Engineering Department, Iran University of Science and Technology, Tehran, Iran
Venue:
RoboCup 2005
Year:
2006

Citing 3
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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.