Conditioning and Interpretation Shifts

Author:

Romeijn Jan-Willem

Abstract

Abstract This paper develops a probabilistic model of belief change under interpretation shifts, in the context of a problem case from dynamic epistemic logic. Van Benthem [4] has shown that a particular kind of belief change, typical for dynamic epistemic logic, cannot be modelled by standard Bayesian conditioning. I argue that the problems described by van Benthem come about because the belief change alters the semantics in which the change is supposed to be modelled: the new information induces a shift in the interpretation of the sentences. In this paper I show that interpretation shifts can be modeled in terms of updating by conditioning. The model derives from the knowledge structures developed by Fagin et al [8], and hinges on a distinction between the propositional and informational content of sentences. Finally, I show that Dempster-Shafer theory provides the appropriate probability kinematics for the model.

Publisher

Springer Science and Business Media LLC

Subject

History and Philosophy of Science,Logic

Reference21 articles.

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2. Baltag, A., L. S. Moss, and S. Solecki, The logic of public announcements, common knowledge, and private suspicions. TARK ’98: Proceedings of the 7th conference on Theoretical aspects of rationality and knowledge, Morgan Kaufman, 1998, pp. 43–56.

3. Baltag, A., and S. Smets, A Qualitative Theory of Dynamic Interactive Belief Revision. In G. Bonanno, W. van der Hoek, and M. Wooldridge (eds.), Texts in Logic and Games, Vol. 3, Amsterdam University Press, 2008, pp. 9–58.

4. van Benthem J.F.A.K.: Conditional Probability meets Update Logic. Journal of Logic, Language and Information 12, 409–421 (2003)

5. van Benthem J.F.A.K., Gerbrandy J., Kooi B.P.: Dynamic Update with Probabilities. Studia Logica 93(1), 67–93 (2009)

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