Lab for Computational Intelligence
Department of Computer Science
University of British Columbia
Office: ICICS 144
Research
I'm interested in the problems at the intersection of artificial
intelligence and game theory, and particularly auction theory. I focus on
auctions where reporting truthfully is not the rational thing for an agent
to do. One case of this is deliberative agents, agents must pay some
(computational) cost to discover what the truth is. In this case, I study
what rational agents will do in standard auctions, and what auctioneers
can do to give agents the incentive to acquire information. Another case
is position auctions, such as those used to sell keyword advertising on
major search-engines. I'm working on computational methods for finding
Nash equilibria of these auctions, and studying the economic outcomes of
those equilibria.
My supervisor is Kevin Leyton-Brown.
