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Judgment Aggregation And Subjective Decision-Making

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  • Miller, Michael K.

Abstract

I present an original model in judgment aggregation theory that demonstrates the general impossibility of consistently describing decision-making purely at the group level. Only a type of unanimity rule can guarantee a group decision is consistent with supporting reasons, and even this possibility is limited to a small class of reasoning methods. The key innovation is that this result holds when individuals can reason in different ways, an allowance not previously considered in the literature. This generalizes judgment aggregation to subjective decision situations, implying that the discursive dilemma persists without individual agreement on the logical constraints. Notably, the model mirrors the typical method of choosing political representatives, and thus suggests that no voting procedure other than unanimity rule can guarantee representation that reflects electorate opinion. Finally, I apply the results to a normative argument for unanimity rule in contract theory and juries, as well as to problems posed for deliberative democratic theory and the concept of representation.

Suggested Citation

  • Miller, Michael K., 2008. "Judgment Aggregation And Subjective Decision-Making," Economics and Philosophy, Cambridge University Press, vol. 24(2), pages 205-231, July.
  • Handle: RePEc:cup:ecnphi:v:24:y:2008:i:02:p:205-231_00
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    Cited by:

    1. Jade Wong & Andreas Ortman, 2013. "Do Donors Care About the Price of Giving? A Review of the Evidence, with Some Theory to Organize It," Discussion Papers 2013-22, School of Economics, The University of New South Wales.
    2. Michael Miller & Daniel Osherson, 2009. "Methods for distance-based judgment aggregation," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 32(4), pages 575-601, May.
    3. Beg, Ismat & Syed, Ayesha, 2016. "An interactive fuzzy judgment aggregation model for consensus with partially undecided judges," MPRA Paper 96096, University Library of Munich, Germany, revised 14 Apr 2017.

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