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

Bovens, Luc and Hartmann, Stephan (2001): Belief Expansion, Contextual Fit, and the Reliability of Information Sources. In: Akman, Varol; Bouquet, Paolo; Thomason, Richmond and Young, Roger (eds.) : Modeling and Using Context. Lecture Notes in Artificial Intelligence, Vol. 2116. Berlin: Springer-Verlag. pp. 421-424

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.

• Item Type: Book Section
• Form of publication: Postprint
• Faculties: Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP); Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP) > Philosophy of Science
• Subjects: 100 Philosophy and Psychology > 100 Philosophy
• ISBN: 978-3-540-42379-9
• Place of Publication: Berlin
• Language: English