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https://dx.doi.org/10.4230/dag...
Article . 2007
License: CC BY
Data sources: Datacite
DBLP
Conference object . 2018
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Common Foundations for belief revision, belief merging and voting

Authors: Gabbay, Dov; Pigozzi, Gabriella; Rodrigues, Odinaldo;

Common Foundations for belief revision, belief merging and voting

Abstract

In this paper, we consider a number of different ways of reasoning about voting as a problem of conciliating contradictory interests. The mechanisms that do the reconciliation are belief revision and belief merging. By investigating the relationship between different voting strategies and their associated counterparts in revision theory, we find that whereas the counting mechanism of the voting process is more easily done at the meta-level in belief merging, it can be brought to the object level in base revision. In the former case, the counting can be tweaked according to the aggregation procedure used, whereas in base revision, we can only rely on the notion of minimal change and hence the syntactical representation of the voters' preferences plays a crucial part in the process. This highlights the similarities between the revision approaches on the one hand and voting on the other, but also opens up a number of interesting questions.

Countries
Luxembourg, Germany
Keywords

: Computer science [C05] [Engineering, computing & technology], 330, Belief revision, voting, belief merging, : Sciences informatiques [C05] [Ingénierie, informatique & technologie], 004, social choice theory

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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!
0
Average
Average
Average
Green