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Belief Expansion, Contextual Fit and the Reliability of Information Sources

We develop a probabilistic criterion for belief expansion that is sensitive to the degree of contextual fit of the new information to our belief set as well as to the reliability of our information source. We contrast our approach with the success postulate in AGM-style belief revision and show how the idealizations in our approach can be relaxed by invoking Bayesian-Network models.Article

Hartmann, Stephan and Bovens, L (2001) Belief Expansion, Contextual Fit and the Reliability of Information Sources.

Item Type:Article
Additional Information:Citation: In: V. Akman et al. (eds.), "Modeling and Using Context" (2001), 421-424.
Keywords:Bayesianism, Confirmation theory
Divisions:Institute of Philosophy
Collections:London Philosophy Papers
Deposited By:Repository Administrator
Date Deposited:08 Oct 2010 11:27
Last Modified:12 Oct 2010 07:43
Files available for downloadg
File size126Kb
License termsAvailable to public
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