stanford.seal64.gif (1,768 bytes)

Broad Area Colloquium for Artificial Intelligence,
Geometry, Graphics, Robotics and Vision

Trading Agents

Michael Wellman
University of Michigan

Monday, February 25, 2002, 4:15PM
Gates B01


The proliferation of electronic marketplaces opens new opportunities for deploying automated trading strategies. Much of the existent literature on trading agents concerns isolated markets employing continuous double auction mechanisms. Alternative market mechanisms (including combinatorial), as well as complexes of interrelated markets, present distinct strategic issues. Lessons for trading agents can be gleaned from studies of a variety of market games, including studies of scenarios in scheduling, supply chain formation, and travel shopping. The latter has served as the basis for an international Trading Agent Competition (, providing a forum to compare approaches from a diverse collection of agent developers.

About the Speaker

Michael P. Wellman is Professor of Computer Science and Engineering and Director of the Artificial Intelligence Laboratory at the University of Michigan. He received a PhD from the Massachusetts Institute of Technology in 1988 for his work in qualitative probabilistic reasoning and decision-theoretic planning. From 1988 to 1992, Dr. Wellman conducted research in these areas at the USAF's Wright Laboratory. For the past ten years, his research has focused on computational market mechanisms for distributed decision making and electronic commerce. He has served as Executive Editor of the Journal of Artificial Intelligence Research, as Chair of the ACM Conference on Electronic Commerce, and has been elected Councilor and Fellow of the American Association for Artificial Intelligence.

Back to the Colloquium Page