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Editorial Reviews
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 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
Product Description
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.
See all Editorial Reviews
"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 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
Product Description
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.
See all Editorial Reviews
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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cascade model, general threshold model, third workshop, nonatomic instance, swap regret, nonatomic selfish routing games, proportional allocation mechanism, dispute wheel, external regret, efficient approximation mechanisms, digital goods auctions, automated market makers, highest value agent, frugality ratio, contagion threshold, algorithms for market equilibria, load balancing games, affine maximizer, affine cost functions, total money possessed, phantom feedback, facility location game, expected maximum occupancy, maximal tight set, reduced strategic form Key Phrases - Capitalized Phrases (CAPs): (learn more)
Electronic Commerce, Discrete Algorithms, Theory of Computing, Games Econ, Cambridge University Press, Artificial Intelligence, Prisoner's Dilemma, Braess's Paradox, Annual Symp, New York, Princeton University Press, Economics of Information Security, Oxford University Press, Ann Arbor, Electronic Colloquium, Working Paper, Economics of Peer-to-Peer Systems, Joint Conf, Theory of Games, Technical Report, Academic Press, Management Sci, Learning Theory, Political Econ, Randomized Weighted Majority Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
cascade model, general threshold model, third workshop, nonatomic instance, swap regret, nonatomic selfish routing games, proportional allocation mechanism, dispute wheel, external regret, efficient approximation mechanisms, digital goods auctions, automated market makers, highest value agent, frugality ratio, contagion threshold, algorithms for market equilibria, load balancing games, affine maximizer, affine cost functions, total money possessed, phantom feedback, facility location game, expected maximum occupancy, maximal tight set, reduced strategic form Key Phrases - Capitalized Phrases (CAPs): (learn more)
Electronic Commerce, Discrete Algorithms, Theory of Computing, Games Econ, Cambridge University Press, Artificial Intelligence, Prisoner's Dilemma, Braess's Paradox, Annual Symp, New York, Princeton University Press, Economics of Information Security, Oxford University Press, Ann Arbor, Electronic Colloquium, Working Paper, Economics of Peer-to-Peer Systems, Joint Conf, Theory of Games, Technical Report, Academic Press, Management Sci, Learning Theory, Political Econ, Randomized Weighted Majority Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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82% buy the item featured on this page: Algorithmic Game Theory $36.00 |
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5% buy Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations$40.50 |
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5% buy Game Theory: Analysis of Conflict $30.15 |
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4% buy Combinatorial Optimization: Algorithms and Complexity $13.57 |
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