Vojnovic | Contest Theory | E-Book | sack.de
E-Book

E-Book, Englisch, 0 Seiten

Vojnovic Contest Theory

Incentive Mechanisms and Ranking Methods
Erscheinungsjahr 2016
ISBN: 978-1-316-47422-8
Verlag: Cambridge University Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

Incentive Mechanisms and Ranking Methods

E-Book, Englisch, 0 Seiten

ISBN: 978-1-316-47422-8
Verlag: Cambridge University Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Contests are prevalent in many areas, including sports, rent seeking, patent races, innovation inducement, labor markets, scientific projects, crowdsourcing and other online services, and allocation of computer system resources. This book provides unified, comprehensive coverage of contest theory as developed in economics, computer science, and statistics, with a focus on online services applications, allowing professionals, researchers and students to learn about the underlying theoretical principles and to test them in practice. The book sets contest design in a game-theoretic framework that can be used to model a wide-range of problems and efficiency measures such as total and individual output and social welfare, and offers insight into how the structure of prizes relates to desired contest design objectives. Methods for rating the skills and ranking of players are presented, as are proportional allocation and similar allocation mechanisms, simultaneous contests, sharing utility of productive activities, sequential contests, and tournaments.

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Autoren/Hrsg.


Weitere Infos & Material


1. Introduction and preview; 2. Standard all-pay contests; 3. Rank order allocation of prizes; 4. Smooth allocation of prizes; 5. Simultaneous contests; 6. Utility sharing and social welfare; 7. Sequential contests; 8. Tournaments; 9. Rating systems; 10. Ranking methods; 11. Appendices.


Vojnovic, Milan
Milan Vojnovic has been a researcher with Microsoft Research, Cambridge, since 2004 and an affiliated lecturer with the University of Cambridge since 2014. His research interests are in algorithms and data sciences, and game theory. He earned a PhD degree in technical sciences from the École Polytechnique Federale de Lausanne in 2003. He has won numerous awards, including the 2005 ERCIM Cor Baayen award and the 2010 ACM SIGMETRICS Rising Star Award.



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