skip to main content
10.1145/1324249.1324260acmotherconferencesArticle/Chapter ViewAbstractPublication PagestarkConference Proceedingsconference-collections
Article

From conditional probability to the logic of doxastic actions

Published:25 June 2007Publication History

ABSTRACT

We investigate the discrete (finite) case of the Popper-Renyi theory of conditional probability, introducing discrete conditional probabilistic models for knowledge and conditional belief, and comparing them with the more standard plausibility models. We also consider a related notion, that of safe belief, which is a weak (nonnegatively introspective) type of "knowledge". We develop a probabilistic version of this concept ("degree of safety") and we analyze its role in games. We completely axiomatize the logic of conditional belief, knowledge and safe belief over conditional probabilistic models. We develop a theory of probabilistic dynamic belief revision, introducing "action models" and a notion of probabilistic update product, that comes together with appropriate reduction laws.

References

  1. C. E. Alchourrón, P. Gärdenfors, and D. Makinson. On the logic of theory change: partial meet contraction and revision functions. Journal of Symbolic Logic, 50:510--530, 1985.Google ScholarGoogle ScholarCross RefCross Ref
  2. H. Arlo-Costa and R. Parikh. Conditional probability and defeasible inference. Journal of Philosophical Logic, 34:97--119, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  3. G. Aucher. A combined system for update logic and belief revision. Master's thesis, ILLC, University of Amsterdam, Amsterdam, the Netherlands, 2003.Google ScholarGoogle Scholar
  4. R. J. Aumann. Backwards induction and common knowledge of rationality. Games and Economic Behavior, 8:6--19, 1995.Google ScholarGoogle ScholarCross RefCross Ref
  5. A. Baltag. A logic for suspicious players: epistemic actions and belief updates in games. Bulletin Of Economic Research, 54(1):1--46, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  6. A. Baltag and L. S. Moss. Logics for epistemic programs. Synthese, 139:165--224, 2004. Knowledge, Rationality & Action 1--60.Google ScholarGoogle ScholarCross RefCross Ref
  7. A. Baltag, L. S. Moss, and S. Solecki. The logic of common knowledge, public announcements, and private suspicions. In I. Gilboa, editor, Proceedings of the 7th Conference on Theoretical Aspects of Rationality and Knowledge (TARK 98), pages 43--56, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. A. Baltag and S. Smets. Conditional doxastic models: a qualitative approach to dynamic belief revision. Electronic Notes in Theoretical Computer Science, 165:5--21, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. A. Baltag and S. Smets. Dynamic belief revision over multi-agent plausibility models. In W. van der Hoek and M. Wooldridge, editors, Proceedings of LOFT'06, pages 11--24. Liverpool, 2006.Google ScholarGoogle Scholar
  10. A. Baltag and S. Smets. The logic of conditional doxastic actions: a theory of dynamic multi-agent belief revision. In Proceedings of ESSLLI Workshop on Rationality and Knowledge. 2006.Google ScholarGoogle Scholar
  11. A. Baltag and S. Smets. A qualitative theory of dynamic interactive belief revision. In W. van der Hoek G. Bonanno and M. Wooldridge, editors, Texts in Logic and Games. Amsterdam University Press, 2007. To appear.Google ScholarGoogle Scholar
  12. O. Board. Dynamic interactive epistemology. Games and Economic Behaviour, 49:49--80, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  13. C. Boutilier. On the revision of probabilistic belief states. Notre Dame Journal of Formal Logic, 36(1):158--183, 1995.Google ScholarGoogle ScholarCross RefCross Ref
  14. B. C. Van Fraassen. Representational of conditional probabilities. Journal of Philosophical Logic, 5:417--430, 1976.Google ScholarGoogle ScholarCross RefCross Ref
  15. B. C. Van Fraassen. Fine-grained opinion, probability, and the logic of full belief. Journal of Philosophical Logic, 24:349--377, 1995.Google ScholarGoogle ScholarCross RefCross Ref
  16. P. Gärdenfors. Knowledge in Flux: Modeling the Dynamics of Epistemic States. Bradford Books, MIT Press, Cambridge, MA, 1988.Google ScholarGoogle Scholar
  17. J. Gerbrandy. Dynamic epistemic logic. Logic, Language and Information, 2, 1999. CSLI Publications, Stanford University. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. J. Y. Halpern. Lexicographic probability, conditional probability, and nonstandard probability. In Proceedings of the Eighth Conference on Theoretical Aspects of Rationality and Knowledge (TARK 8), pages 17--30, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. J. Y. Halpern. Reasoning about Uncertainty. MIT Press, Cambridge MA, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. H. Katsuno and A. Mendelzon. On the difference between updating a knowledge base and revising it. In Cambridge Tracts in Theoretical Computer Science, pages 183--203, 1992.Google ScholarGoogle ScholarCross RefCross Ref
  21. B. P. Kooi. Probabilistic dynamic epistemic logic. Journal of Logic, Language and Information, 12:381--408, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. G. Pappas and M. Swain, editors. Essays on Knowledge and Justification. Cornell Univ. Press, Ithaca, NY, 1978.Google ScholarGoogle Scholar
  23. K. R. Popper. The Logic of Scientific Discovery (revised Edition). London Hutchison, 1968. First Ed. 1934.Google ScholarGoogle Scholar
  24. A. Renyi. On a new axiomatic theory of probability. Acta Mathematica Academiae Scientiarum Hungaricae, 6:285--335, 1955.Google ScholarGoogle ScholarCross RefCross Ref
  25. A. Renyi. Sur les espaces simples des probabilites conditionnelles. Annales de L'institut Henri Poincare: section B: calcul des probabilities et statistique, B1:3--21, 1964.Google ScholarGoogle Scholar
  26. R. Stalnaker. Knowledge, belief and counterfactual reasoning in games. Economics and Philosophy, 12:133--163, 1996.Google ScholarGoogle ScholarCross RefCross Ref
  27. J. van Benthem. Conditional probability meets update logic. Journal of Philosophical Logic, 12(4):409--421, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. J. van Benthem. Dynamic logic of belief revision. Technical Report, ILLC, DARE electronic archive, University of Amsterdam, 2006.Google ScholarGoogle Scholar
  29. J. F. A. K. van Benthem, J. Gerbrandy, and B. P. Kooi. Dynamic update with probabilities. In W. van der Hoek and M. Wooldridge, editors, Proceedings of LOFT'06. Liverpool, 2006.Google ScholarGoogle Scholar
  30. J. F. A. K. van Benthem and F. Liu. Dynamic logic of preference upgrade. Technical report, 2004. ILLC Research Report PP-2005-29.Google ScholarGoogle Scholar
  31. J. F. A. K. van Benthem, J. van Eijck, and B. P. Kooi. Logics of communication and change. Information and Computation, 204(11):1620--1662, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. H. P. van Ditmarsch. Prolegomena to dynamic logic for belief revision. Synthese (Knowledge, Rationality & Action), 147:229--275, 2005.Google ScholarGoogle Scholar
  1. From conditional probability to the logic of doxastic actions

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      TARK '07: Proceedings of the 11th conference on Theoretical aspects of rationality and knowledge
      June 2007
      296 pages
      ISBN:9781450378413
      DOI:10.1145/1324249

      Copyright © 2007 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 25 June 2007

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • Article

      Acceptance Rates

      TARK '07 Paper Acceptance Rate32of100submissions,32%Overall Acceptance Rate61of177submissions,34%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader