Journal of Artificial Intelligence Research
pp. 189-206. Submitted 2/01; published 9/01.
© 2001 AI Access Foundation
and Morgan Kaufmann Publishers.
All rights reserved.
Postscript and PDF versions of this document are
available from here.
ATTac-2000: An Adaptive Autonomous Bidding Agent
Michael L. Littman
AT&T Labs Research, 180 Park Avenue
Florham Park, NJ 07932 USA
Syntek Capital, 423 West 55th Street
New York, NY 10019 USA
The First Trading Agent Competition (TAC) was held from June 22nd to
July 8th, 2000. TAC was designed to create a benchmark problem in
the complex domain of e-marketplaces and to motivate researchers to
apply unique approaches to a common task. This article describes
ATTac-2000, the first-place finisher in TAC. ATTac-2000 uses a principled
bidding strategy that includes several elements of
adaptivity. In addition to the success at the competition,
isolated empirical results are presented indicating the robustness
and effectiveness of ATTac-2000's adaptive strategy.