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arXiv:1907.09111cs.AI

Aggregating Probabilistic Judgments

Magdalena Ivanovska, Marija Slavkovik

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Abstract

In this paper we explore the application of methods for classical judgment aggregation in pooling probabilistic opinions on logically related issues. For this reason, we first modify the Boolean judgment aggregation framework in the way that allows handling probabilistic judgments and then define probabilistic aggregation functions obtained by generalization of the classical ones. In addition, we discuss essential desirable properties for the aggregation functions and explore impossibility results.

arXiv comments
In Proceedings TARK 2019, arXiv:1907.08335
Journal reference
EPTCS 297, 2019, pp. 273-292
DOI
doi:10.4204/EPTCS.297.18
Subjects
cs.AIArtificial Intelligence cs.MAMultiagent Systems

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