Electrical Engineering and Computer Science


AI Seminar

Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition **

Michael Wellman, PhD, Professor, Computer Science & Engineering


 
Tuesday, September 26, 2006
4:00pm - 5:30pm
3725 Beyster Bldg.

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About the Event

Title: Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition ** Abstract: Years of observing, analyzing, and competing in the Trading Agent Competition (TAC) have taught us much about the potential of automated bidders, and principles underlying their design. I will share some of the highlights of our experience with the TAC travel game, including: 1. a prevailing architecture based on prediction plus optimization, 2. a taxonomy of heuristics for bidding under uncertainty in interdependent markets, and 3. an empirical game-theoretic methodology for evaluating strategy ideas. **This title and much of the content of the talk come from a book by this name written with Amy Greenwald and Peter Stone, forthcoming from MIT Press.

Additional Information

Contact: David Wingate

Phone: 763-0699

Email: wingated@umich.edu

Sponsor(s): AI Laboratory

Open to: Public