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Computational Social Choice by Vincent Conitzer (2016, Hardcover)
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About this product
Product Identifiers
PublisherCambridge University Press
ISBN-101107060435
ISBN-139781107060432
eBay Product ID (ePID)215969955
Product Key Features
Number of Pages548 Pages
Publication NameComputational Social Choice
LanguageEnglish
SubjectIntelligence (Ai) & Semantics, Computer Science, General
Publication Year2016
TypeHandbook
AuthorVincent Conitzer
Subject AreaComputers, Social Science
FormatHardcover
Dimensions
Item Height0.9 in
Item Weight40.6 Oz
Item Length10.2 in
Item Width7.1 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2015-030289
Reviews"The book offers to noneconomists an outstanding self-contained introduction to normative themes in contemporary economics and to economists a thorough discussion of the computational limits of their art. But I also recommend it to anyone with a taste for axiomatics: it is replete with new and open questions that will be with us for some time." Hervé Moulin, from the Foreword
Dewey Edition23
IllustratedYes
Dewey Decimal302/.130285
Edition DescriptionHandbook (Instructor's)
Table Of ContentForeword Hervé Moulin; 1. Introduction to computational social choice Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang and Ariel D. Procaccia; Part I. Voting: 2. Introduction to the theory of voting William S. Zwicker; 3. Tournament solutions Felix Brandt, Markus Brill and Paul Harrenstein; 4. Weighted tournament solutions Felix Fischer, Olivier Hudry and Rolf Niedermeier; 5. Dodgson's rule and Young's rule Ioannis Caragiannis, Edith Hemaspaandra and Lane A. Hemaspaandra; 6. Barriers to manipulation in voting Vincent Conitzer and Toby Walsh; 7. Control and bribery in voting Piotr Faliszewski and Jörg Rothe; 8. Rationalizations of voting rules Edith Elkind and Arkadii Slinko; 9. Voting in combinatorial domains Jérôme Lang and Lirong Xia; 10. Incomplete information and communication in voting Craig Boutilier and Jeffrey S. Rosenschein; Part II. Fair Allocation: 11. Introduction to the theory of fair allocation William Thomson; 12. Fair allocation of indivisible goods Sylvain Bouveret, Yann Chevaleyre and Nicolas Maudet; 13. Cake cutting algorithms Ariel D. Procaccia; Part III. Coalition Formation: 14. Matching under preferences Bettina Klaus, David F. Manlove and Francesca Rossi; 15. Hedonic games Haris Aziz and Rahul Savani; 16. Weighted voting games Georgios Chalkiadakis and Michael Wooldridge; Part IV. Additional Topics: 17. Judgment aggregation Ulle Endriss; 18. The axiomatic approach and the internet Moshe Tennenholtz and Aviv Zohar; 19. Knockout tournaments Virginia Vassilevska-Williams.
SynopsisThe rapidly growing field of computational social choice, at the intersection of computer science and economics, deals with the computational aspects of collective decision making. This handbook, written by thirty-six prominent members of the computational social choice community, covers the field comprehensively. Chapters devoted to each of the field's major themes offer detailed introductions. Topics include voting theory (such as the computational complexity of winner determination and manipulation in elections), fair allocation (such as algorithms for dividing divisible and indivisible goods), coalition formation (such as matching and hedonic games), and many more. Graduate students, researchers, and professionals in computer science, economics, mathematics, political science, and philosophy will benefit from this accessible and self-contained book., At the intersection of computer science and economics, computational social choice deals with the computational aspects of collective decision making. This book outlines the field's major themes: voting, fair allocation, and coalition formation. Graduate students and researchers in computer science, economics, mathematics, political science, and philosophy will benefit from this book.
LC Classification NumberHB846.8.H33 2016
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