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Link to original content: https://doi.org/10.1007/3-540-44607-9_34
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Belief Expansion, Contextual Fit, and the Reliability of Information Sources

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Modeling and Using Context (CONTEXT 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2116))

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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.

The research was supported by a grant of the National Science Foundation, Science and Technology Studies (SES 00-80580) and grants of the Transcoop Program and of the Feodor Lynen Program of the Alexander von Humboldt Foundation.

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References

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Author information

Authors and Affiliations

  1. Dept. of Philosophy, CU at University, CB 232, Boulder, CO, 80309, USA

    Luc Bovens

  2. Dept. of Philosophy, University of Konstanz, 78457, Konstanz, Germany

    Stephan Hartmann

Authors
  1. Luc Bovens
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  2. Stephan Hartmann
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Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Bilkent University, Bilkent, Ankara, 06533, Turkey

    Varol Akman

  2. Department of Computer and Management Sciences, University of Trento, 38100, Trento, Italy

    Paolo Bouquet

  3. Philosophy Department, University of Michigan, 2251 Angell Hall, Ann Arbor, MI, 48109-1003, USA

    Richmond Thomason

  4. Philosophy Department, University of Dundee, Dundee, DD1 4HN, Scotland, UK

    Roger Young

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© 2001 Springer-Verlag Berlin Heidelberg

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Bovens, L., Hartmann, S. (2001). Belief Expansion, Contextual Fit, and the Reliability of Information Sources. In: Akman, V., Bouquet, P., Thomason, R., Young, R. (eds) Modeling and Using Context. CONTEXT 2001. Lecture Notes in Computer Science(), vol 2116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44607-9_34

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  • DOI: https://doi.org/10.1007/3-540-44607-9_34

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42379-9

  • Online ISBN: 978-3-540-44607-1

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