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Doxastic preference logic

A new look at belief revision

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Logics in AI (JELIA 1990)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 478))

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Abstract

To get a realistic model for describing the epistemic states of cognitive agents and their dynamics, we also have to consider more sophisticated forms of beliefs, e.g. meta, control and default knowledge. As was documented by the seven flaws, approaches linked too closely to the Gärdenforsian tradition cannot deal in an appropriate way with these and other epistemic phenomenons. In particular, iterating belief transformations causes problems. A way to meet this challenge might be doxastic preference logic, which is based on a qualitative, higher order preference concept and a derived flexible, highly but not fully introspective notion of belief. Following some basic intuitions about belief revision, we get a corresponding natural preference-based updating procedure, called doxastic revision. The theory presented in this paper allows, at least to a certain extent, to bring in protection, control and reflection, and to avoid forcing of doxastic preference commitments and ungrounded beliefs. Concerning the remaining gaps, extensions of simple doxastic preference logic seem to be rather well suited for integrating nonmonotonic reasoning and belief revision. For the rest, there are some promising ideas around, but they still have to be worked out.

Anyway, whatever might be the right logical framework for belief dynamics, it will not be found within the limits of the current paradigms.

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References

  • Alchourron, Carlos and David Makinson: 1985, "On the Logic of Theory Change: Safe Contraction", Studia Logica 44, 405–422.

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  • Gärdenfors, Peter: 1988, Knowledge in Flux: Modeling the Dynamics of Epistemic States, Bradford Books, MIT Press, Cambridge, Mass..

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  • Makinson, David: 1990, "General Patterns in Nonmonotonic Reasoning", in D.M. Gabbay a.o. (eds.), Handbook of Logic in Artificial Intelligence and Logic Programming, Vol II: Nonmonotonic and Uncertain Reasoning, Oxford UP, Oxford, to appear.

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  • Rott, Hans: 1990, "A Nonmonotonic Conditional Logic for Belief Revision", to appear.

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  • Spohn, Wolfgang, 1989, "A General Non-Probabilistic Theory of Inductive Reasoning", in Proceedings of the 4th Workshopp on Uncertainty in Artificial Intelligence, University of Minnesota, Minneapolis, 315–322.

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J. van Eijck

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© 1991 Springer-Verlag Berlin Heidelberg

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Weydert, E. (1991). Doxastic preference logic. In: van Eijck, J. (eds) Logics in AI. JELIA 1990. Lecture Notes in Computer Science, vol 478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0018464

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  • DOI: https://doi.org/10.1007/BFb0018464

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53686-4

  • Online ISBN: 978-3-540-46982-7

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