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Econometrica
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Consistent Probabilistic Social Choice

Consistent probabilistic social choice
Authors: Florian Brandl; Felix Brandt 0001; Hans Georg Seedig;

Consistent Probabilistic Social Choice

Abstract

Two fundamental axioms in social choice theory are consistency with respect to a variable electorate and consistency with respect to components of similar alternatives. In the context of traditional non-probabilistic social choice, these axioms are incompatible with each other. We show that in the context of probabilistic social choice, these axioms uniquely characterize a function proposed by Fishburn (Rev. Econ. Stud., 51(4), 683--692, 1984). Fishburn's function returns so-called maximal lotteries, i.e., lotteries that correspond to optimal mixed strategies of the underlying plurality game. Maximal lotteries are guaranteed to exist due to von Neumann's Minimax Theorem, are almost always unique, and can be efficiently computed using linear programming.

Keywords

FOS: Computer and information sciences, Probability (math.PR), Social choice, probabilistic social choice, Computer Science - Computers and Society, Computer Science - Computer Science and Game Theory, Linear programming, maximal lotteries, Computers and Society (cs.CY), FOS: Mathematics, Computer Science - Multiagent Systems, population-consistency, composition-consistency, Mathematics - Probability, Computer Science and Game Theory (cs.GT), Multiagent Systems (cs.MA)

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
Green
bronze