Probabilistic judgment aggregation with conditional independence constraints

Probabilistic judgment aggregation is concerned with aggregating judgments about probabilities of logically related issues. It takes as input imprecise probabilistic judgments over the issues given by a group of agents and defines rules of aggregating the individual judgments into a collective opini...

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Bibliographic Details
Published inInformation and computation Vol. 303; p. 105256
Main Authors Ivanovska, Magdalena, Slavkovik, Marija
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.03.2025
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Summary:Probabilistic judgment aggregation is concerned with aggregating judgments about probabilities of logically related issues. It takes as input imprecise probabilistic judgments over the issues given by a group of agents and defines rules of aggregating the individual judgments into a collective opinion representative for the group. The process of aggregation can be subject to constraints, i.e., aggregation rules can be required to satisfy certain properties. We explore how probabilistic independence constraints can be represented and incorporated into the aggregation process.
ISSN:0890-5401
DOI:10.1016/j.ic.2024.105256