Skip to main content

Defining normative systems for qualitative argumentation

  • Conference paper
  • First Online:
Practical Reasoning (FAPR 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1085))

Included in the following conference series:

  • 135 Accesses

Abstract

Inspired by two different approaches to providing a qualitative method for reasoning under uncertainty—qualitative probabilistic networks and systems of argumentation—this paper attempts to combine the advantages of both by defining systems of argumentation that have a probabilistic semantics.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Dague, P. (1993) Symbolic reasoning with relative orders of magnitude, Proceedings of the 13th International Joint Conference on Artificial Intelligence, Chambery, France.

    Google Scholar 

  2. Darwiche, A. (1993) A symbolic generalization of probability theory, Ph.D. Thesis, Stanford.

    Google Scholar 

  3. Dawes, R. (1979) The robust beauty of improper linear models, American Psychologist, 34, 571–582.

    Article  Google Scholar 

  4. Druzdzel, M. J. and Henrion, M. (1993) Efficient reasoning in qualitative probabilistic networks, Proceedings of the 11th National Conference on Artificial Intelligence, Washington.

    Google Scholar 

  5. Dubois, D. and Prade, H. (1979) Fuzzy real algebra: some results, Fuzzy sets and systems, 2, 327–348.

    Article  MathSciNet  Google Scholar 

  6. Dubois, D., Prade, H., Godo, L., and Lopez de Mantaras, R. (1992) A symbolic approach to reasoning with linguistic quantifiers, Proceedings of the 8th Conference on Uncertainty in Artificial Intelligence, Stanford.

    Google Scholar 

  7. Fox, J. (1990) Automating assistance for safety critical decisions, Philosophical Transactions of the Royal Society, B, 327, 555–567.

    Google Scholar 

  8. Fox, J., Krause, P. and Ambler, S. (1992) Arguments, contradictions and practical reasoning, Proceedings of the 10th European Conference on Artificial Intelligence, Vienna.

    Google Scholar 

  9. Glowinski, A., O'Neil, M., and Fox, J. (1987) Design of a generic information system and its application to primary care, Proceedings of AIME Conference, Marseille.

    Google Scholar 

  10. Goldszmidt, M. (1992) Qualitative probabilities: a normative framework for commonsense reasoning, Ph.D. Thesis, UCLA.

    Google Scholar 

  11. Krause, P., Ambler, S., Elvang-Gøransson, M., and Fox, J. (1995) A logic of argumentation for reasoning under uncertainty, Computational Intelligence, 11, 113–131.

    Google Scholar 

  12. Loui, R. P. (1987) Defeat among arguments: a system of defeasible inference, Computational Intelligence, 3, 100–106.

    Google Scholar 

  13. Parsons, S. (1996) Normative argumentation and qualitative probability, Technical Report 317, Advanced Computation Laboratory, Imperial Cancer Research Fund.

    Google Scholar 

  14. Parsons, S. (1995) Refining reasoning in qualitative probabilistic networks, Proceedings of the 11th Conference on Uncertainty in Artificial Intelligence, Montreal.

    Google Scholar 

  15. Parsons, S. and Fox, J. (1994) A general approach to managing imperfect information in deductive databases, Proceedings of the Workshop on Uncertainty in Databases and Deductive Systems, Ithaca, NY.

    Google Scholar 

  16. Poole, D. (1991) Representing Bayesian networks within probabilistic horn abduction, in Proceedings of the 7th Conference on Uncertainty in Artificial Intelligence, Los Angeles, CA.

    Google Scholar 

  17. Wellman, M. P. (1994) Some varieties of qualitative probability, Proceedings of the 5th International Conference on Information Processing and the Management of Uncertainty, Paris.

    Google Scholar 

  18. Wellman, M. P. (1990) Formulation of tradeoffs in planning under uncertainty, Pitman, London.

    Google Scholar 

  19. Wong, S. K. M., Xiang, Y., and Nie, X. (1994) Representation of Bayesian networks as relational databases, Proceedings of the 5th International Conference on Information Processing and the Management of Uncertainty, Paris.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Dov M. Gabbay Hans Jürgen Ohlbach

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Parsons, S. (1996). Defining normative systems for qualitative argumentation. In: Gabbay, D.M., Ohlbach, H.J. (eds) Practical Reasoning. FAPR 1996. Lecture Notes in Computer Science, vol 1085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61313-7_93

Download citation

  • DOI: https://doi.org/10.1007/3-540-61313-7_93

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61313-8

  • Online ISBN: 978-3-540-68454-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics