"Autonomous Bidding in the Trading Agent Competition"
Amy Greenwald, Brown University
May 7, 2002
Federal Communications Commission, Washington, DC

Dr. Amy Greenwald 's primary research area is the study of economic interactions among boundedly rational, computational agents. Her primary methodologies are game-theoretic analysis and simulation. Her research is applicable in areas ranging from dynamic pricing via pricebots to autonomous bidding agents. Dr. Greenwald was recently awarded an NSF Career Grant entitled "Computational Social Choice Theory." Previously, Dr. Greenwald was employed by IBM T.J. Watson Research Center, where she was involved in the Information Economies Project.

Dr. Greenwald completed her Ph.D. in 1999 at the Courant Institute of Mathematical Sciences of New York University, where she was funded in part by a dissertation fellowship awarded by the American Association of University Women. Prior to attending NYU, she was sponsored by the Office of Naval Research to attend Cornell University, where she earned a Master's Degree in Computer Science in 1995. Prior to attending Cornell, she was sponsored by the Thouron Foundation to attend Oxford University, where she earned a Master's Degree in Computation in 1992. In 1991, she earned dual bachelors degrees--one in computer science and one in economics--at the University of Pennsylvania's Management and Technology Program.

Dr. Greenwald discussed combinatorial auctions and the problem of choosing a set of winning bids that maximizes revenue---the so-called winner determination problem. Her talk presented an architecture for autonomous bidding in simultaneous auctions in the context of "TAC" the Trading Agent Competition.

PDF slides from the presentation are available.

An article based on the talk, which was published in CRA's Computing Research News.