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Article . 1973 . Peer-reviewed
License: Springer TDM
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Stable outcomes in majority rule voting games

Authors: Judith Sloss;

Stable outcomes in majority rule voting games

Abstract

Ever since Condorcet described the famous "paradox of voting" some 200 years ago, 1 political scientists have been aware that the process of direct majority-rule decision-making wilt not in general produce a stable outcome when the choice to be made is between more than two alternatives. Since majority-rule voting is a fundamental part of our decision-making apparatus, it is natural to ask what conditions are needed in Order to guarantee the existence of a stable decision. This question has intrigued both political scientists and mathematicians for some time. Some of the most interesting stability conditions have been derived using the so-called "spatial" model, in which alternative social states are viewed as points in a convex policy space, such as E n. Black and Newing [3] present a very complete and general analysis in geometrical terms for the 3-person case, where alternatives can be represented as points in E2; they extend some of their results to the N-person case. Plott [9] has found necessary and sufficient conditions for local stability in the finite-population case, where every individual's preferences can be represented by a differentiable

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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!
50
Top 10%
Top 1%
Average
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