Optimal Decision Rules for the Discursive Dilemma
Aureli Alabert, Merc\`e Farr\'e, Rub\'en Montes

TL;DR
This paper investigates optimal decision rules for the discursive dilemma, aiming to minimize combined false positive and false negative probabilities under mild rule restrictions.
Contribution
It introduces a quantitative criterion for selecting the best decision rule in the discursive dilemma, considering probabilistic assessments of committee members.
Findings
Identifies the optimal decision rule under probabilistic accuracy assumptions.
Provides a framework for evaluating decision rules based on false positive/negative trade-offs.
Offers insights into decision-making processes in collective reasoning.
Abstract
We study the classical discursive dilemma from the point of view of finding the best decision rule according to a quantitative criterion, under very mild restrictions on the set of admissible rules. The members of the deciding committee are assumed to have a certain probability to assess correctly the truth or falsity of the premisses, and the best rule is the one that minimises a combination of the probabilities of false positives and false negatives on the conclusion.
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Taxonomy
TopicsRough Sets and Fuzzy Logic · Logic, Reasoning, and Knowledge · Multi-Agent Systems and Negotiation
