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Dynamic Attitudes, Fixed Points and Minimal Change

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Logic, Rationality, and Interaction (LORI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8196))

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Abstract

According to the principle of minimal change, an agent should not change her belief state more than is strictly required to accomodate new information. We propose a novel approach to the issue by considering a notion of optimality of belief revision policies that is sensitive to the target of revision.

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References

  1. Alchourron, C.E., Gardenfors, P., Makinson, D.: On the logic of theory change. Journal of Symbolic Logic 50, 510–530 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  2. Baltag, A., Smets, S.: A qualitative theory of dynamic interactive belief revision. Texts in Logic and Games 3 (2008)

    Google Scholar 

  3. Baltag, A., Rodenhäuser, B., Smets, S.: Doxastic attitudes as belief revision policies. In: Proceedings of the ESSLLI Workshop on Strategies for Learning, Belief Revision and Preference Change (2012)

    Google Scholar 

  4. Baltag, A., Rodenhäuser, B., Smets, S.: Dynamic attitudes as strategies for belief change (unpublished manuscript 2013)

    Google Scholar 

  5. Board, O.: Dynamic interactive epistemology (2002)

    Google Scholar 

  6. Booth, R., Chopra, S., Meyer, T.: Admissible and restrained revision. Journal of Artificial Intelligence Research (2006)

    Google Scholar 

  7. Boutilier, C.: Revision sequences and nested conditionals. In: Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI 1993), pp. 519–525 (1993)

    Google Scholar 

  8. Boutilier, C.: Iterated revision and minimal change of conditional beliefs. Journal of Philosophical Logic 25(3), 263–305 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  9. Costa, H.A., Levi, I.: Contraction. on the decision-theoretic origins of minimal change and entrenchment (2005)

    Google Scholar 

  10. Darwiche, A., Pearl, J.: On the logic of iterated belief revision. Artificial Intelligence 89(1-29) (1996)

    Google Scholar 

  11. Gärdenfors, P.: Knowledge in Flux: Modeling the Dynamics of Epistemic States. The MIT Press (1988)

    Google Scholar 

  12. Harman, G.: Change in View. MIT Press (1986)

    Google Scholar 

  13. Nayak, A.C.: Iterated belief change based on epistemic entrenchment. Erkenntnis 41, 353–390 (1994)

    Article  MathSciNet  Google Scholar 

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Rodenhäuser, B. (2013). Dynamic Attitudes, Fixed Points and Minimal Change. In: Grossi, D., Roy, O., Huang, H. (eds) Logic, Rationality, and Interaction. LORI 2013. Lecture Notes in Computer Science, vol 8196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40948-6_30

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  • DOI: https://doi.org/10.1007/978-3-642-40948-6_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40947-9

  • Online ISBN: 978-3-642-40948-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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