Ramin Fathzadeh

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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(More)
Opponent Modeling is one of the most attractive and practical arenas in Multi Agent System (MAS) for predicting and identifying the future behaviors of opponent. This paper introduces a novel approach using rule based expert system towards opponent modeling in RoboCup Soccer Coach Simulation. In this scene, an autonomous coach agent is able to identify the(More)
Opponent modeling is one of the most attractive and practical arenas in multi agent system (MAS) for predicting and identifying the future behaviors of opponent. This paper introduces an approach towards opponent modeling in RoboCup Soccer Coach Simulation. In this scene, an autonomous coach agent is able to identify the weaknesses or patterns of the(More)
This paper describes MRL @Home robot. Our team has participated in RoboCup international competition since 2009. The leading improvement of MRL @Home since last year is developing Robot Operating System as the main control platform of robot. ROSARIA is recruited to control Pioneer 3-AT robot. It controls and receives position estimates, sonar and bumper,(More)
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