Experiences Acquired in the Design of RoboCup Teams: A Comparison of Two Fielded Teams Export

@article{marsella01a, abstract = {Increasingly multi agent systems are being designed for a variety of complex dynamic domains E ective agent interactions in such domains raise some of the most fundamental research challenges for agent based systems in teamwork multi agent learning and agent modelling The RoboCup research initiative partic ularly the simulation league has been proposed to pursue such multi agent research challenges using the common testbed of simulation soccer Despite the signi cant popularity of RoboCup within the research community general lessons have not often been extracted 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}, author = {Marsella, Stacy and Tambe, Milind and Adibi, Jafar and Onaiza, Yaser A. and Kaminka, Gal A. and Muslea, Ion}, citeulike-article-id = {1585557}, citeulike-linkout-0 = {http://jmvidal.cse.sc.edu/library/marsella-jaamas01.pdf}, journal = {Journal of Autonomous Agents and Multi-Agent Systems}, keywords = {bibtex-import, multiagent, robocup, survey}, number = {1/2}, pages = {115--129}, posted-at = {2007-08-23 14:42:21}, priority = {2}, title = {Experiences Acquired in the Design of RoboCup Teams: A Comparison of Two Fielded Teams}, url = {http://jmvidal.cse.sc.edu/library/marsella-jaamas01.pdf}, volume = {4}, year = {2001} }

TY - JOUR ID - marsella01a L3 - citeulike-article-id:1585557 N2 - Increasingly multi agent systems are being designed for a variety of complex dynamic domains E ective agent interactions in such domains raise some of the most fundamental research challenges for agent based systems in teamwork multi agent learning and agent modelling The RoboCup research initiative partic ularly the simulation league has been proposed to pursue such multi agent research challenges using the common testbed of simulation soccer Despite the signi cant popularity of RoboCup within the research community general lessons have not often been extracted 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 IS - 1/2 JF - Journal of Autonomous Agents and Multi-Agent Systems EP - 129 TI - Experiences Acquired in the Design of RoboCup Teams: A Comparison of Two Fielded Teams VL - 4 SP - 115 KW - bibtex-import KW - multiagent KW - robocup KW - survey AU - Marsella, Stacy AU - Tambe, Milind AU - Adibi, Jafar AU - Onaiza, Yaser AU - Kaminka, Gal AU - Muslea, Ion PY - 2001/// UR - http://jmvidal.cse.sc.edu/library/marsella-jaamas01.pdf ER -