Algorithmic Game Theory Edited by Noam Nisan, Tim Roughgarden, Eva Tardos and Vijay V. Vaziran Over the last few years, there has been explosive growth in the research done at the interface of computer science, game theory, and economic theory, largely motivated by the emergence of the internet. Algorithmic Game Theory develops the central ideas and results of this new and exciting area. More than 40 of the top researchers in this field have written chapters whose topics range from the foundations to the state of the art. This book contains an extensive treatment of algorithms for equilibria in games and markets, computational auctions and mechanisms design, and the "price of anarchy", as well as applications in networks, peer-to-peer systems, security, information markets, and more. This book will be of interest to students, researchers, and practitioners in theoretical computer science, economics, networking, artificial intelligence, operations research, and discrete mathematics.