Sciweavers

Share
CONTEXT
2001
Springer

Belief Expansion, Contextual Fit, and the Reliability of Information Sources

11 years 6 months ago
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. ∗ A slightly revised version of this article appeared in V. Akman et al. (eds.), Modeling and Using Context, Berlin: Springer 2001, 421–424. 1
Luc Bovens, Stephan Hartmann
Added 28 Jul 2010
Updated 28 Jul 2010
Type Conference
Year 2001
Where CONTEXT
Authors Luc Bovens, Stephan Hartmann
Comments (0)
books