Aggregating judgements by merging evidence

Williamson, Jon (2009) Aggregating judgements by merging evidence. Journal of Logic and Computation, 19 (3). pp. 461-473. ISSN 0955-792X . (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1093/logcom/exn011

Abstract

The theory of belief revision and merging has recently been applied to judgement aggregation. In this paper I argue that judgements are best aggregated by merging the evidence on which they are based, rather than by directly merging the judgements themselves. This leads to a three-step strategy for judgement aggregation. First, merge the evidence bases of the various agents using some method of belief merging. Second, determine which degrees of belief one should adopt on the basis of this merged evidence base, by applying objective Bayesian theory. Third, determine which judgements are appropriate given these degrees of belief by applying a decision-theoretic account of rational judgement formation.

Item Type: Article
Additional information: 8th Conference on Connections between Belief Revision, Belief Merging and Social Choice London, ENGLAND, NOV, 2006
Uncontrolled keywords: Judgement aggregation; belief merging; belief revision; objective Bayesianism; decision theory; maximum entropy
Subjects: B Philosophy. Psychology. Religion > B Philosophy (General)
Divisions: Faculties > Humanities > School of European Culture and Languages
Depositing User: Jon Williamson
Date Deposited: 25 Jan 2010 10:50
Last Modified: 02 Jun 2014 08:24
Resource URI: http://kar.kent.ac.uk/id/eprint/20879 (The current URI for this page, for reference purposes)
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