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Sprache/n: | Englisch |
Veröffentlichungsangabe: | Cambridge : Cambridge University Press, 2016 |
Umfang: | 1 Online-Ressource (xiii, 341 Seiten) : Diagramme |
Anmerkung: | Title from publisher's bibliographic system (viewed on 08 Aug 2016). |
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ISBN: | 978-1-316-77930-9 Online 978-1-316-62479-1 Print 978-1-107-17266-1 Print |
Identifikator: | DOI: 10.1017/CBO9781316779309 |
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Mehr zum Thema: | Klassifikation der Library of Congress: QA269Dewey Dezimal-Klassifikation: 519.3Dewey Dezimal-Klassifikation: 519.3Mathematics Subject Classification: *91-01Mathematics Subject Classification: 68-01Mathematics Subject Classification: 91-08Mathematics Subject Classification: 91B26Mathematics Subject Classification: 91A10Mathematics Subject Classification: 91A80Mathematics Subject Classification: 90B60Mathematics Subject Classification: 91B32Mathematics Subject Classification: 90B10 |
Inhalt: | 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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Standort: | Elektronische Ressource - Nutzung mit Bibliotheksausweis der Staatsbibliothek zu Berlin |
Anmerkung: | Temporär im Bestand der Staatsbibliothek |
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