Paul Milgrom, Shirley and Leonard Ely Professor of Humanities and Sciences and Professor of Economics, Stanford University
"Computer scientists never lose sight of the fact that a solution to an economic or social problem is not really feasible unless it is computationally tractable, and their toolkit has the potential to give new theoretical flesh to venerable economic intuitions such as the invisible hand, or the problematic nature of market socialism. Algorithmic Game Theory is a collection of essays by leading computer scientists and economists surveying the state of the art, and the open problems, in the many branches of this rapidly moving area. It is ideal for graduate students, and for established researchers in either economics or computer science, who wish to learn about the concepts and issues shaping an increasingly important stream of interdisciplinary research."
Professor Andrew McLennan, School of Economics, University of Queensland
"The most exciting current research in game theory and its applications is being done in computer science. Algorithmic Game Theory effectively brings the reader to the frontiers of this research."
Ehud Kalai, James J. O'Connor Distinguished Professor of Decision and Game Sciences, Kellogg School of Management, Northwestern University
"I recommend Algorithmic Game Theory."
Dave Levin, SIGACT News