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.

PDF, PS, HTML

In Gal A. Kaminka and Pedro U. Lima and Raul Rojas, editors, RoboCup-2002: Robot Soccer World Cup VI, Lecture Notes in Artificial Intelligence, 2752, 224-237, Berlin, 2003. Springer Verlag.

@InCollection{LNAI2002-comps, title={Multiagent Competitions and Research: Lessons from RoboCup and TAC}, author={Peter Stone}, booktitle={RoboCup-2002: Robot Soccer World Cup VI}, volume={2752}, editor={Gal A. Kaminka and Pedro U. Lima and Raul Rojas}, series={Lecture Notes in Artificial Intelligence}, address={Berlin}, publisher={Springer Verlag}, pages={224-237}, url="http://www.cs.utexas.edu/users/ai-lab/?LNAI2002-comps", year={2003} }