Vidal's library
Title: Experiences Acquired in the Design of RoboCup Teams: A Comparison of Two Fielded Teams
Author: Stacy Marsella, Milind Tambe, Jafar Adibi, Yaser Al-Onaiza, Gal A. Kaminka, and Ion Muslea
Journal: Journal of Autonomous Agents and Multi-Agent Systems
Volume: 4
Number: 1/2
Pages: 115--129
Year: 2001
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

Cited by 20  -  Google Scholar

@Article{marsella01a,
  author =	 {Stacy Marsella and Milind Tambe and Jafar Adibi and
                  Yaser Al-Onaiza and Gal A. Kaminka and Ion Muslea},
  title =	 {Experiences Acquired in the Design of RoboCup Teams:
                  A Comparison of Two Fielded Teams},
  googleid =	 {2tOKjiQTpjkJ:scholar.google.com/},
  journal =	 {Journal of Autonomous Agents and Multi-Agent
                  Systems},
  year =	 2001,
  volume =	 4,
  number =	 {1/2},
  pages =	 {115--129},
  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},
  keywords =     {multiagent robocup survey},
  url =
                  {http://jmvidal.cse.sc.edu/library/marsella-jaamas01.pdf},
  cluster = 	 {4154028754027074522}
}
Last modified: Wed Mar 9 10:15:03 EST 2011