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Multiagent Competitions and Research: Lessons from RoboCup and TAC.
Peter
Stone.
In Gal A. Kaminka, Pedro U. Lima, and Raul Rojas, editors,
RoboCup-2002: Robot Soccer World Cup VI, Lecture Notes in Artificial Intelligence, pp. 224–237, Springer Verlag,
Berlin, 2003.
[PDF]216.7kB [postscript]168.6kB
This paper compares and contrasts two recent series of competitions in which multiple agents compete directly against one another: the robot soccer world cup (RoboCup) and the trading agent competition (TAC). Both of these competitions have attracted large numbers of competitors and have motivated important research results in artificial intelligence. Based on extensive personal experiences, both as a participant and as an organizer, this paper reflects upon and characterizes both the benefits and the hazards of competitions with respect to academic research.
@InCollection(LNAI2002-comps,
author="Peter Stone",
title="Multiagent Competitions and Research: Lessons from {R}obo{C}up and {TAC}",
booktitle= "{R}obo{C}up-2002: Robot Soccer World Cup {VI}",
Editor="Gal A.\ Kaminka and Pedro U.\ Lima and Raul Rojas",
Publisher="Springer Verlag",address="Berlin",year="2003",
series="Lecture Notes in Artificial Intelligence",
volume="2752",
pages="224--237",
abstract={
This paper compares and contrasts two recent series
of competitions in which multiple agents compete
directly against one another: the robot soccer world
cup (RoboCup) and the trading agent competition
(TAC). Both of these competitions have attracted
large numbers of competitors and have motivated
important research results in artificial
intelligence. Based on extensive personal
experiences, both as a participant and as an
organizer, this paper reflects upon and
characterizes both the benefits and the hazards of
competitions with respect to academic research.
},
Bib2html_pubtype = {Book Chapter},
)
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