Vidal's libraryTitle: | 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