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European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty

ECSQARU 1999: Symbolic and Quantitative Approaches to Reasoning and Uncertainty pp 328–339Cite as

Argumentation and Qualitative Decision Making

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1638))

Abstract

This paper presents a system of argumentation which captures the kind of reasoning possible in qualitative probabilistic networks, including reasoning about expected utilities of actions and the propagation of synergies between actions. In these latter regards it is an extension of our previous work on systems of argumentation which reason with qualitative probabilities.

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References

  1. S. Benferhat, D. Dubois, and H. Prade. Argumentative inference in uncertain and inconsistent knowledge bases. In Proceedings of the 9th Conference on Uncertainty in Artificial Intelligence, 1993.

    Google Scholar 

  2. B. Bonet and H. Geffner. Arguing for decisions: a qualitative model of decision making. In Proceedings of the 12th Conference on Uncertainty in Artificial Intelligence, 1996.

    Google Scholar 

  3. A. Darwiche. A symbolic generalization of probability theory. PhD thesis, Stanford University, 1993.

    Google Scholar 

  4. A. Darwiche and M. Goldszmidt. On the relation between kappa calculus and probabilistic reasoning. In Proceedings of the 10th Conference on Uncertainty in Artificial Intelligence, 1994.

    Google Scholar 

  5. M. J. Druzdzel. Probabilistic reasoning in decision support systems: from computation to common sense. PhD thesis, Carnegie Mellon University, 1993.

    Google Scholar 

  6. M. J. Druzdzel and M. Henrion. Intercausal reasoning with uninstantiated ancestor nodes. In Proceedings of the 9th Conference on Uncertainty in Artificial Intelligence, 1993.

    Google Scholar 

  7. D. Dubois, L. Godo, H. Prade, and A. Zapico. Making decision in a qualitative setting: from decision under uncertainty to case-based decision. In Proceedings of the 6th International Conference on Knowledge Representation and Reasoning, 1998.

    Google Scholar 

  8. D. Dubois and H. Prade. Possibility theory as a basis for qualitative decision theory. In Proceedings of the 14th International Joint Conference on Artificial Intelligence, 1995.

    Google Scholar 

  9. D. Dubois, H. Prade, and R. Sabbadin. A possibilistic logic machinery for qualitative decision. In Proceedings of the AAAI Spring Symposium on Qualitative Preferences in Deliberation and Practical Reasoning, 1997.

    Google Scholar 

  10. P. M. Dung. On the acceptability of arguments and its fundamental role in nonmonotonic reasoning and logic programming. In Proceedings of the 13th International Joint Conference on Artificial Intelligence, 1993.

    Google Scholar 

  11. J. Fox. A unified framework for hypothetical and practical reasoning (2): lessons from clinical medicine. In Proceedings of the Conference on Formal and Applied Practical Reasoning, 1996.

    Google Scholar 

  12. M. Goldszmidt. Qualitative probabilities: a normative framework for commonsense reasoning. PhD thesis, University of California at Los Angeles, 1992.

    Google Scholar 

  13. R. A. Howard and J. E. Matheson. Inuence diagrams. In R. A. Howard and J. E. Matheson, editors, Readings on the Principles and Applications of Decision Analysis, pages 719–762. Strategic Decisions Group, Menlo Park, CA, 1984.

    Google Scholar 

  14. B. Kuipers, editor. Qualitative Reasoning—Modelling and Simulation with Incomplete Knowledge. MIT Press, Cambridge, MA, 1994.

    Google Scholar 

  15. D. Lehmann. What is qualitative? a framework for quantitative and qualitative decision theory. In Proceedings of the AAAI Spring Symposium on Qualitative Preferences in Deliberation and Practical Reasoning, 1997.

    Google Scholar 

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

    Article  Google Scholar 

  17. S. Parsons. A proof theoretic approach to qualitative probabilistic reasoning. International Journal of Approximate Reasoning, 19:265–297, 1998.

    Article  MATH  MathSciNet  Google Scholar 

  18. S. Parsons. Qualitative approaches to reasoning under uncertainty. MIT Press, (to appear), Cambridge, MA, 1999.

    Google Scholar 

  19. S. Parsons and S. Green. A proof theoretic approach to qualitative decision making. Technical report, Department of Electronic Engineering, Queen Mary and Westéld College, 1999.

    Google Scholar 

  20. J. Pearl. Probabilistic reasoning in intelligent systems; networks of plausible inference. Morgan Kaufmann, San Mateo, CA., 1988.

    Google Scholar 

  21. J. Pearl. From conditional oughts to qualitative decision theory. In Proceedings of the 9th Conference on Uncertainty in Artificial Intelligence, 1993.

    Google Scholar 

  22. W. Swartout. Xplain: a system for creating and explaining expert consulting programs. Artificial Intelligence, 21:285–325, 1983.

    Article  Google Scholar 

  23. Sek-Wah Tan and J. Pearl. Qualitative decision theory. In Proceedings of the 12th National Conference on Artificial Intelligence, 1994.

    Google Scholar 

  24. Sek-Wah Tan and J. Pearl. Specification and evaluation of preferences under uncertainty. In Proceedings of the 4th International Conference on Knowledge Representation and Reasoning, 1994.

    Google Scholar 

  25. M. P. Wellman. Formulation of tradeoffs in planning under uncertainty. Pitman, London, 1990.

    Google Scholar 

  26. N. Wilson. An order of magnitude calculus. In Proceedings of the 11th Conference on Uncertainty in Artificial Intelligence, 1995.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electronic Engineering, Queen Mary & Westfield College, University of London, London, E1 4NS, UK

    Simon Parsons & Shaw Green

Authors
  1. Simon Parsons
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  2. Shaw Green
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University College London, Gower Street, WC1E 6BT, London, UK

    Anthony Hunter

  2. Department of Electronic Engineering, University of London, Queen Mary and Westfield College, E1 4NS, London, UK

    Simon Parsons

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© 1999 Springer-Verlag Berlin Heidelberg

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Parsons, S., Green, S. (1999). Argumentation and Qualitative Decision Making. In: Hunter, A., Parsons, S. (eds) Symbolic and Quantitative Approaches to Reasoning and Uncertainty. ECSQARU 1999. Lecture Notes in Computer Science(), vol 1638. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48747-6_30

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  • DOI: https://doi.org/10.1007/3-540-48747-6_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66131-3

  • Online ISBN: 978-3-540-48747-0

  • eBook Packages: Springer Book Archive

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