Publication: VIENA: VIsual ENvironment for Analyzing RoboCup Soccer Teams
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2010
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Abstract
Nowadays, one of the main subjects of research in multi-agent systems deals with the development of autonomous agents that can interac efficiently. Opponent modeling is a technique in game-playing which attempts to create a model of behavior of the opponent. This model can be used to predict the future actions of the opponent and generate appropriate strategies to play against it. RoboCup is an international joint project that aims to foster Artificial Intelligence (AI) and intelligent robotics research by providing a standard problem. RoboCup offers different challenges for intelligent agent researches in a dynamic, real-time and multi-agent domain. One of these challenges, especially in the Simulation League, is the opponent modeling, which is crucial for the ultimate goal of the RoboCup project: develop a team of fully autonomous. This aspect has motivated the construction of a tool for analyzing the behavoir of a soccer team: VIENA. Although there are several tools in the RoboCup enviroment for analyzing a soccer games from a loglife and displaying statictical data (a survey of these tools is presented in this paper), VIENA analyzes a soccer team behavoir using different methods proposed for user.
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Proceeding of: X Simposio de Inteligencia Computacional (SICO'2010) in the framework of the Congreso Español de Informática, CEDI 2010, Valencia, Spain, September 9th - 10th, 2010.
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X Simposio de Inteligencia Computacional (SICO 2010), en el marco del Congreso Español de Informática, CEDI 2010, p.1-8.