Aggregating with reason(s)

Fabrizio Cariani*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Judgment aggregation is naturally applied to the modeling of collective attitudes. In the individual case, we represent agents as having not just beliefs, but also as supporting them with reasons. Can the Judgment Aggregation help model a concept of collective reason? I argue that the resources of the standard judgment aggregation framework are insufficiently general. I develop a generalization of the framework that improves along this dimension. In the new framework, new aggregation rules become available, as well as a natural account of collective reasons.

Original languageEnglish (US)
Pages (from-to)3123-3147
Number of pages25
JournalSynthese
Volume190
Issue number15
DOIs
StatePublished - Oct 2013

Funding

Acknowledgements I thank Branden Fitelson, Stephan Hartmann, Jeff Horty, Eric Pacuit, Gabriella Pigozzi, Sherri Roush, Jan Sprenger and an anonymous referee. Special thanks to Shyam Nair for delivering written comments on this paper at FEW 2011. I also thank for their feedback audiences at Tilburg University, FEW 2011, Workshop on Voting Methods and Judgment Aggregation (where I presented a descendent of this paper). Work on this paper was partly suported by Sherri Roush’s NSF project Fallibility and Revision in Science and Society, Award No. SES-0823418, whose support I gratefully acknowledge

Keywords

  • Collective belief
  • Judgment aggregation
  • Reasons

ASJC Scopus subject areas

  • Philosophy
  • General Social Sciences

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