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Roughgarden, Tim

9781107172661: Twenty Lectures on Algorithmic Game Theory

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ISBN 10: 1107172667 ISBN 13: 9781107172661

Editorial: Cambridge University Press, 2016

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Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management.

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Tim Roughgarden is an Associate Professor of Computer Science at Stanford University, California. For his research in algorithmic game theory, he has been awarded the ACM Grace Murray Hopper Award, the Presidential Early Career Award for Scientists and Engineers (PECASE), the Kalai Prize in Game Theory and Computer Science, the Social Choice and Welfare Prize, the Mathematical Programming Society's Tucker Prize, and the EATCS-SIGACT G�del Prize. He wrote the book Selfish Routing and the Price of Anarchy (2005) and coedited the book Algorithmic Game Theory (2007).

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EditorialCambridge University Press
A�o de publicaci�n2016
ISBN 10 1107172667
ISBN 13 9781107172661
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Twenty Lectures on Algorithmic Game Theory

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Tim Roughgarden

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Twenty Lectures on Algorithmic Game Theory

Roughgarden, Tim

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Gebunden. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book gives students a quick and accessible introduction to many of the most important concepts in the field of algorithmic game theory. It demonstrates these concepts through case studies in online advertising, wireless spectrum auctions, kidney exchan. N� de ref. del art�culo: 447216861

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Tim Roughgarden

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Hardcover. Condici�n: new. Hardcover. Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management. This book gives students a quick and accessible introduction to many of the most important concepts in the field of algorithmic game theory. It demonstrates these concepts through case studies in online advertising, wireless spectrum auctions, kidney exchange, and network management. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de ref. del art�culo: 9781107172661

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Twenty Lectures on Algorithmic Game Theory

Roughgarden, Tim

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Twenty Lectures on Algorithmic Game Theory

Tim Roughgarden

Publicado por Cambridge University Press, 2016

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Buch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This accessible introduction features case studies in online advertising, spectrum auctions, kidney exchange, and network management. N� de ref. del art�culo: 9781107172661

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