PhilSci Archive

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]


Download (129kB)


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.

Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Bovens, Luc
Hartmann, Stephan
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 15:13
Item ID: 2434

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item