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Belief Expansion, Contextual Fit and the Reliability of Information Sources

Bovens, Luc and Hartmann, Stephan (2005) Belief Expansion, Contextual Fit and the Reliability of Information Sources. [Preprint]

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    Abstract

    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.


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    Item Type: Preprint
    Keywords: Belief expansion, coherence, reliability, Bayesian networks, AGM theory, context
    Subjects: Specific Sciences > Probability/Statistics
    General Issues > Confirmation/Induction
    General Issues > Theory Change
    Depositing User: Stephan Hartmann
    Date Deposited: 04 Sep 2005
    Last Modified: 07 Oct 2010 11:13
    Item ID: 2434
    URI: http://philsci-archive.pitt.edu/id/eprint/2434

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