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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
Creators:
CreatorsEmailORCID
Bovens, Luc
Hartmann, Stephans.hartmann@lmu.de0000-0001-8676-2177
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: 12 Jul 2024 17:56
Item ID: 2434
Subjects: Specific Sciences > Probability/Statistics
General Issues > Confirmation/Induction
General Issues > Theory Change
Date: September 2005
URI: https://philsci-archive.pitt.edu/id/eprint/2434

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