On being a teammate: Experiences acquired in the design of Robocup teams

Abstract:

tract Increasingly multiagent systems are being designed for a variety of complex dynamic domains Eective agent inter actions in such domains raise some of the most fundamental research challenges for agentbased systems in teamwork multiagent learning and agent modelling The RoboCup research initiative particularly the simulation league has been proposed to pursue such multiagent research chal lenges using the common testbed of simulation soccer De spite the signicant popularity of RoboCup within the re search community general lessons have not often been ex tracted from participation in RoboCup This is what we attempt to do here We have elded two teams ISIS and ISIS in RoboCup competitions These teams have been in the top four teams in these competitions We compare the teams and attempt to analyze and generalize the lessons learned This analysis reveals several surprises pointing out lessons for teamwork and for multi-agent learning.