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- Title Algorithmic Game Theory
- Author(s) Noam Nisan, Tim Roughgarden, Eva Tardos, Vijay V. Vazirani
- Publisher: Cambridge University Press (September 24, 2007)
- Hardcover 776 pages
- eBook PDF
- Language: English
- ISBN-10: 0521872820
- ISBN-13: 978-0521872829
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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.
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.About the Authors
- Tim Roughgarden is an Assistant Professor in the Department of Computer Science at Stanford University.
- Vijay Vazirani got his Bachelor's degree in Computer Science from MIT in 1979 and his PhD from the University of California at Berkeley in 1983. The central theme in his research career has been the design of efficient algorithms. Additionally, he has also worked on complexity theory, cryptography, coding theory and game theory. In 2001 he published what is widely regarded as the definitive book on Approximation Algorithms; this book has been translated into Japanese, Polish and French. He is a Fellow of the ACM.
- Algorithms and Data Structures
- Combinatorics and Game Theory
- Computational and Algorithmic Mathematics
- Computational Complexity
- Financial Mathematics, Mathematical Economics, and Financial Engineering