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Two Roles of Preferences in Argumentation Frameworks

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Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6717))

Abstract

In this paper, we show that preferences intervene twice in argumentation frameworks: i) to compute standard solutions (i.e. extensions), and ii) to refine those solutions (i.e. to return only the preferred extensions). The two roles are independent and obey to distinct postulates. After introducing and studying the postulates, we provide an example of a formal framework which models the two roles and verifies all the proposed postulates.

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References

  1. Amgoud, L., Caminada, M., Cayrol, C., Lagasquie, M., Prakken, H.: Towards a consensual formal model: inference part. Technical report, Deliverable D2.2: Draft Formal Semantics for Inference and Decision-Making. ASPIC project (2004)

    Google Scholar 

  2. Amgoud, L., Cayrol, C.: A reasoning model based on the production of acceptable arguments. Annals of Mathematics and Artificial Int. 34, 197–216 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  3. Amgoud, L., Vesic, S.: Repairing preference-based argumentation systems. In: IJCAI 2009, pp. 665–670 (2009)

    Google Scholar 

  4. Amgoud, L., Vesic, S.: Generalizing stable semantics by preferences. In: Proceedings of COMMA 2010, pp. 39–50 (2010)

    Google Scholar 

  5. Bench-Capon, T.J.M.: Persuasion in practical argument using value-based argumentation frameworks. J. of Logic and Computation 13(3), 429–448 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  6. Brewka, G., Niemela, I., Truszczynski, M.: Preferences and nonmonotonic reasoning. AI Magazine, 69–78 (2008)

    Google Scholar 

  7. Dimopoulos, Y., Moraitis, P., Amgoud, L.: Extending argumentation to make good decisions. In: Rossi, F., Tsoukias, A. (eds.) ADT 2009. LNCS, vol. 5783, pp. 225–236. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  8. Dung, P.: On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games. AIJ 77, 321–357 (1995)

    MathSciNet  MATH  Google Scholar 

  9. Kaci, S.: Refined preference-based argumentation framworks. In: Proceedings of COMMA 2010, pp. 299–310 (2010)

    Google Scholar 

  10. Modgil, S.: Reasoning about preferences in argumentation frameworks. AIJ 173(9-10), 901–934 (2009)

    MathSciNet  MATH  Google Scholar 

  11. Prakken, H.: An abstract framework for argumentation with structured arguments. Journal of Argument and Computation (2010) (in press)

    Google Scholar 

  12. Simari, G., Loui, R.: A mathematical treatment of defeasible reasoning and its implementation. Artificial Intelligence Journal 53, 125–157 (1992)

    Article  MathSciNet  MATH  Google Scholar 

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Amgoud, L., Vesic, S. (2011). Two Roles of Preferences in Argumentation Frameworks. In: Liu, W. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2011. Lecture Notes in Computer Science(), vol 6717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22152-1_8

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  • DOI: https://doi.org/10.1007/978-3-642-22152-1_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22151-4

  • Online ISBN: 978-3-642-22152-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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