RoboCup-97: Robot Soccer World Cup I
RoboCup-97: Robot Soccer World Cup I
From Play Recognition to Good Plays Detection - Reviewing RoboCup 97 Teams from the Logfile
RoboCup-98: Robot Soccer World Cup II
Coaching a Soccer Simulation Team in RoboCup Environment
EurAsia-ICT '02 Proceedings of the First EurAsian Conference on Information and Communication Technology
Logfile Player and Analyzer for RoboCup 3D Simulation
RoboCup 2006: Robot Soccer World Cup X
A Deeper Look at 3D Soccer Simulations
RoboCup 2007: Robot Soccer World Cup XI
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This paper describes analysis results of collaboration among players of RoboCup '98 simulator teams and on-line adversarial model analysis using LogMonitor. LogMonitor is a tool for analyzing games from logfiles and displaying statistical data such as counts of soccer plays. Evaluation of collaboration in a multi-agent system is closely related with applied domains, which make it difficult to distinguish agent's universal ability from task oriented programs. In viewing simulation soccer games, play agents' skills are evaluated from the human soccer standards. This situation is assumed to be similar to collaboration among teammates, that is evaluated from human standards.Adding to the basic actions of the player such as shooting, kicking, etc., a 1-2 pass among teammate agents is used to evaluate teams in collaboration. LogMonitor data shows that 1-2 pass may be useful to evaluate collaboration. Experiments show that adding adversarial information is very useful to make a team more robust.