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LAMAS&SR 2023

Probabilistic Judgment Aggregation with Conditional Independence Constraints

Workshop Paper Accepted Extended Abstract Artificial Intelligence · Formal Methods · Logic in Computer Science · Multi-Agent Systems

Abstract

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 incorporated into the aggregation process.

Authors

Keywords

  • probabilistic logic
  • judgment aggregation
  • conditional independence

Context

Venue
Logics and Strategic Reasoning in Multi-Agent Systems
Archive span
2021-2024
Indexed papers
50
Paper id
698209008961816098