Skip to main content
Log in

Basic Infobase Change

  • Published:
Studia Logica Aims and scope Submit manuscript

Abstract

Generalisations of theory change involving arbitrary sets of wffs instead of belief sets have become known as base change. In one view, a base should be thought of as providing more structure to its generated belief set, and can be used to determine the theory change operation associated with a base change operation. In this paper we extend a proposal along these lines by Meyer et al. We take an infobase as a finite sequence of wffs, with each element in the sequence being seen as an independently obtained bit of information, and define appropriate infobase change operations. The associated theory change operations satisfy the AGM postulates for theory change. Since an infobase change operation produces a new infobase, it allows for iterated infobase change. We measure iterated infobase change against the postulates proposed by Darwiche et al. and Lehmann.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. AlchourrÓon, C. E., P. Gärdenfors, and D. Makinson, ‘On the logic of theory change: Partial meet functions for contraction and revision’, Journal of Symbolic Logic 50:510–530, 1985.

    Google Scholar 

  2. Boutilier, C., ‘Unifying default reasoning and belief revision in a modal framework’, Artificial Intelligence 68:33–85, 1994.

    Google Scholar 

  3. dalal, M., ‘Investigations into a theory of knowledge base revision’, in Proceedings of the 7th National Conference of the American Association for Artificial Intelligence, Saint Paul, Minnesota, pages 475–479, 1988.

  4. Darwiche, A., and J. Pearl, ‘On the logic of iterated belief revision’, in R. Fagin, editor, Theoretical Aspects of Reasoning about Knowledge, pages 5–23, Pacific Grove, CA, 1994, Morgan Kaufmann.

  5. Darwiche, A., and J. Pearl, ‘On the logic of iterated belief revision’, Artificial Intelligence 89:1–29, 1997.

    Google Scholar 

  6. Doyle, J., ‘Reason maintenance and belief revision: Foundations versus coherence theories’, in P. Gärdenfors, editor, Belief Revision, volume 29 of Cambridge Tracts in Theoretical Computer Science, pages 29–51, Cambridge University Press, Cambridge, 1992.

    Google Scholar 

  7. Fuhrmann, A., ‘Theory contraction through base contraction’, Journal of Philosophical Logic 20:175–203, 1991.

    Google Scholar 

  8. Gärdenfors, P., Knowledge in Flux: Modeling the Dynamics of Epistemic States, The MIT Press, Cambridge, Massachusetts, 1988.

    Google Scholar 

  9. Grove, A., ‘Two modellings for theory change’, Journal of Philosophical Logic 17:157–170, 1988.

    Google Scholar 

  10. Hansson, S.O., ‘New operators for theory change’, Theoria 55:114–132, 1989.

    Google Scholar 

  11. Hansson, S.O., ‘In defense of base contraction’, Synthese 91:239–245, 1992.

    Google Scholar 

  12. Hansson, S.O., ‘Knowledge-level analysis of belief base operations’, Artificial Intelligence 82:215–235, 1996.

    Google Scholar 

  13. Katsuno, H., and A. O. Mendelzon, ‘Propositional knowledge base revision and minimal change’, Artificial Intelligence 52:263–294, 1991.

    Google Scholar 

  14. Lehmann, D., ‘Another perspective on Default Reasoning’, Annals of Mathematics and Artificial Intelligence, 1995.

  15. Meyer, T. A., W. A. Labuschagne, and J. Heidema, ‘Infobase change: A first approximation’, Journal of Logic, Language and Information 9(3):353–377, 2000.

    Google Scholar 

  16. Nayak, A. C., ‘Foundational belief change’, Journal of Philosophical Logic 23:495–533, 1994.

    Google Scholar 

  17. Nebel, B., ‘A knowledge level analysis of belief revision’, in R. J. Brachman, H. J. Levesque, and R. Reiter, editors, Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning, pages 301–311, San Mateo, CA, 1989, Morgan Kaufmann.

  18. Nebel, B., Reasoning and Revision in Hybrid Representation Systems, volume 422 of Lecture Notes in Artificial Intelligence, Springer-Verlag, Berlin, 1990.

    Google Scholar 

  19. Nebel, B., ‘Belief revision and default reasoning: Syntax-based approaches’, in J. Allen, R. Fikes, and E. Sandewall, editors, Principles of Knowledge Representation and Reasoning: Proceedings of the Second International Conference KR '91, pages 417–428, Morgan Kaufmann, San Francisco, California, 1991.

    Google Scholar 

  20. Nebel, B., ‘Syntax-based approaches to belief revision’, in P. Gärdenfors, editor, Belief Revision, volume 29 of Cambridge Tracts in Theoretical Computer Science, pages 52–88, Cambridge University Press, Cambridge, 1992.

    Google Scholar 

  21. Peppas, P., and M.-A. Williams, ‘Constructive modellings for theory change’, Notre Dame Journal of Formal Logic 36(1):120–133, 1995.

    Google Scholar 

  22. Rott, H., ‘Modellings for belief change: Prioritization and entrenchment’, Theoria 58(1):21–57, 1992.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Meyer, T. Basic Infobase Change. Studia Logica 67, 215–242 (2001). https://doi.org/10.1023/A:1010547120504

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1010547120504

Navigation