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Reliable Methods of Judgment Aggregation

Hartmann, Stephan and Pigozzi, Gabriella and Sprenger, Jan (2009) Reliable Methods of Judgment Aggregation. [Preprint]

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    Abstract

    The aggregation of consistent individual judgments on logically interconnected propositions into a collective judgment on the same propositions has recently drawn much attention. Seemingly reasonable aggregation procedures, such as propositionwise majority voting, cannot ensure an equally consistent collective conclusion. The literature on judgment aggregation refers to such a problem as the discursive dilemma. In this paper we assume that the decision which the group is trying to reach is factually right or wrong. Hence, we address the question of how good the various approaches are at selecting the right conclusion. We focus on two approaches: distance-based procedures and a Bayesian analysis. They correspond to group-internal and group-external decision-making, respectively. We compare those methods in a probabilistic model, demonstrate the robustness of our results over various generalizations and discuss their applicability in different situations. The findings vindicate (i) that in judgment aggregation problems, reasons should carry higher weight than conclusions and (ii) that considering members of an advisory board to be highly competent is a better strategy than to underestimate their advice.


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    Item Type: Preprint
    Keywords: Collective decision theory, judgment aggregation, discursive dilemma
    Subjects: Specific Sciences > Probability/Statistics
    General Issues > Decision Theory
    General Issues > Confirmation/Induction
    Specific Sciences > Economics
    Depositing User: Stephan Hartmann
    Date Deposited: 10 May 2009
    Last Modified: 07 Oct 2010 11:17
    Item ID: 4610
    URI: http://philsci-archive.pitt.edu/id/eprint/4610

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