Theory of Social Choice on Networks: Preference, Aggregation, and Coordination
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.
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Theory of Social Choice on Networks: Preference, Aggregation, and Coordination
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.
66.49 In Stock
Theory of Social Choice on Networks: Preference, Aggregation, and Coordination

Theory of Social Choice on Networks: Preference, Aggregation, and Coordination

by Wynn C. Stirling
Theory of Social Choice on Networks: Preference, Aggregation, and Coordination

Theory of Social Choice on Networks: Preference, Aggregation, and Coordination

by Wynn C. Stirling

eBook

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Overview

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.

Product Details

ISBN-13: 9781316732786
Publisher: Cambridge University Press
Publication date: 09/22/2016
Sold by: Barnes & Noble
Format: eBook
File size: 4 MB

About the Author

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).

Table of Contents

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.
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