In this talk we initiate the study of efficient mechanism design with guaranteed good properties even when players participate in multiple different mechanisms either simultaneously or sequentially. Over the last decade, computer scientists and game theorists have developed good understanding of the impact of strategic user behavior on system performance in environments that include selfish traffic routing, service location, and bandwidth sharing. We will consider simple mechanisms from this perspective. We define smooth mechanisms (that can be thought of as mechanisms that generate approximately market clearing prices), and show that smooth mechanisms are approximately efficient, and the efficiency guarantees for smooth mechanisms (when studied in isolation) carry over to the same or approximately the same guarantees for a market composed of such mechanisms. Joint work with Vasilis Syrgkanis.
Eva Tardos is a Jacob Gould Schurman Professor of Computer Science at Cornell University, is Senior Associate Dean of Computing and Information Science, and was department chair 2006-2010. She received her PhD from Eotvos University in Budapest. She has been elected to the National Academy of Engineering and the American Academy of Arts and Sciences, and is the recipient of some fellowships and awards, including the Packard Fellowship, the Fulkerson Prize and the Dantzig prize. She was editor in chief of SIAM Journal of Computing 2003-09, and is editor of several other journals, including the Journal of the ACM, and Combinatorica. Her research interest is algorithms and algorithmic game theory, the subarea theory of designing systems and algorithms for selfish users.