Broad Area Colloquium for Artificial Intelligence,
Geometry, Graphics, Robotics and Vision
University of Michigan
Monday, February 25, 2002, 4:15PM
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 (http://tac.eecs.umich.edu), 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