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Theory of Social Choice on Networks

Preference, Aggregation, and Coordination

Wynn C. Stirling (Brigham Young University, Utah)

$164.95

Hardback

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English
Cambridge University Press
22 September 2016
Classical social choice theory relies heavily on the assumption that all individuals have fixed preference orderings. This highly original book presents a new theory of social preferences that explicitly accounts for important social phenomena such as coordination, compromise, negotiation and altruism. Drawing on cybernetics and network theory, it extends classical social choice theory by constructing a framework that allows for dynamic preferences that are modulated by the situation-dependent social influence that they exert on each other. In this way the book shows how members of a social network may modulate their preferences to account for social context. This important expansion of social choice theory will be of interest to readers in a wide variety of disciplines, including economists and political scientists concerned with choice theory as well as computer scientists and engineers working on network theory.

By:  
Imprint:   Cambridge University Press
Country of Publication:   United Kingdom
Dimensions:   Height: 235mm,  Width: 159mm,  Spine: 17mm
Weight:   470g
ISBN:   9781107165168
ISBN 10:   1107165164
Pages:   228
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
1. Preference; 2. Aggregation; 3. Deliberation; 4. Coordination; 5. Randomization; 6. Satisficing; Appendix A. Dutch book theorem; Appendix B. Bayesian networks; Appendix C. Probability concepts; Appendix D. Markov convergence theorem; Appendix E. Entropy and mutual information.

Wynn C. Stirling is Professor of Electrical and Computer Engineering, as well as Dean of Graduate Studies at Brigham Young University, Utah. He is the author of Satisficing Games and Decision Making (Cambridge, 2003) and Theory of Conditional Games (Cambridge, 2012). He is also a co-author, with Todd Moon, of Mathematical Methods and Algorithms for Signal Processing (2000).

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