Algorithmic Game Theory

Algorithmic Game Theory

Algorithmic Game Theory

In the last few years game theory has had a substantial impact on computer science, especially on Internet- and e-commerce-related issues. More than 40 of the top researchers in this field have written chapters that go from the foundations to the state of the art. Basic chapters on algorithmic methods for equilibria, mechanism design and combinatorial auctions are followed by chapters on incentives and pricing, cost sharing, information markets and cryptography and security. Students, researchers and practitioners alike need to learn more about these fascinating theoretical developments and their widespread practical application.

Review
"The subject matter of Algorithmic Game Theory covers many of the hottest area of useful new game theory research, introducing deep new problems, techniques, and perspectives that demand the attention of economists as well as computer scientists. The all-star list of author-contributors makes this book the best place for newcomers to begin their studies."
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...

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