Algorithmic Game Theory (Noam Nisan, et al)

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Algorithmic Game Theory (Noam Nisan, et al)

The topic of Algorithmic Game Theory encompasses many of the most active areas of practical new game theory research, offering challenging new issues, methods, and viewpoints that demand both economists' and computer scientists' attention. This book is the greatest spot for beginners to start their studies because of the all-star lineup of author-contributors.

Game theory has significantly influenced computer science during the past few years, particularly in regard to challenges involving the Internet and e-commerce. Chapters that cover everything from the basics to the state of the art have been prepared by more than 40 of the top researchers in this field.

The fundamental chapters on mechanism design, combinatorial auctions, and algorithmic approaches for equilibria are followed by chapters on incentives and pricing, cost-sharing, information markets, and cryptography and security.

More information on these exciting theoretical advancements and their widespread practical application are required for students, researchers, and practitioners alike.

Ebook Details

About the Authors
  • At Stanford University's Department of Computer Science, Tim Roughgarden teaches as an assistant professor.
  • MIT awarded Vijay Vazirani a Bachelor of Science in Computer Science in 1979, and the University of California at Berkeley awarded him a Ph.D. in 1983. The creation of effective algorithms has been his research's overarching theme. The complexity theory, cryptography, coding theory, and game theory are other areas in which he has worked. The well-respected standard text on approximation algorithms—which has been translated into French, Japanese, and Polish—was published by him in 2001. He holds an ACM Fellow title.
Published Date / Year
(September 24, 2007)
776 pages
eBook Format

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