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On Sceptical Versus Credulous Acceptance for Abstract Argument Systems

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Logics in Artificial Intelligence (JELIA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3229))

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Abstract

At a high level of abstraction, many systems of argumentation can be represented by a set of abstract arguments, and a binary relation between these abstract arguments describing how they contradict each other. Acceptable sets of arguments, called extensions, can be defined as sets of arguments that do not contradict one another, and attack all their attackers. We are interested in this paper in answering the question: is a given argument in all extensions of an argumentation system? In fact, what is likely to be useful in AI systems is not a simple yes/no answer, but some kind of well-argued answer, called a proof: if an argument is in every extension, why is it so? Several authors have described proofs that explain why a given argument is in at least one extension. In this paper, we show that a proof that an argument is in every extension can be a proof that some meta-argument is in at least one extension of a meta-argumentation system: this meta-argumentation system describes relationships between sets of arguments of the initial system.

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References

  1. Bondarenko, A., Dung, P., Kowalski, R., Toni, F.: An abstract, argumentationtheoretic approach to default reasoning. Artificial Intelligence 93, 63–101 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  2. Dimopoulos, Y., Torres, A.: Graph theoretical structures in logic programs and default theories. Theoretical Computer Science 170, 209–244 (1996)

    MATH  MathSciNet  Google Scholar 

  3. Dimopoulos, Y., Magirou, V., Papadimitriou, C.: On kernels, Defaults and Even Graphs. Annals of Mathematics and AI, 1–12 (1997)

    Google Scholar 

  4. Berge, C.: Graphs and Hypergraphs. North-Holland, Amsterdam (1973)

    MATH  Google Scholar 

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

    Article  MATH  MathSciNet  Google Scholar 

  6. Kakas, A., Toni, F.: Computing Argumentation in Logic Programming. Journal of Logic and Computation 9, 515–562 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  7. Prakken, H., Sartor, G.: Argument-based logic programming with defeasible priorities. Journal of Applied Non-Classical Logics 7, 25–75 (1997)

    MATH  MathSciNet  Google Scholar 

  8. Amgoud, L., Cayrol, C.: A reasoning model based on the production of acceptable arguments. Annals of Mathematics and Artificial Intelligence 34, 197–215 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  9. Vreeswijk, G., Prakken, H.: Credulous and Sceptical Argument Games for Preferred Semantics. In: Brewka, G., Moniz Pereira, L., Ojeda-Aciego, M., de Guzmán, I.P. (eds.) JELIA 2000. LNCS (LNAI), vol. 1919, pp. 239–253. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  10. Cayrol, C., Doutre, S., Mengin, J.: On Decision Problems related to the preferred semantics for argumentation frameworks. Journal of Logic and Computation 13, 377–403 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  11. Doutre, S., Mengin, J.: On sceptical vs credulous acceptance for abstract argument systems. In: Tenth International Workshop on Non-Monotonic Reasoning (NMR 2004), pp. 134–139 (2004)

    Google Scholar 

  12. Doutre, S.: Autour de la sémantique préférée des systèmes d’argumentation. PhD Thesis, Université Paul Sabatier, Toulouse (2002)

    Google Scholar 

  13. Jakobovits, H., Vermeir, D.: Dialectic Semantics for Argumentation Frameworks. In: Proc. ICAIL 1999, pp. 53–62. ACM Press, New York (1999)

    Chapter  Google Scholar 

  14. Dimopoulos, Y., Nebel, B., Toni, F.: On the Computational Complexity of Assumption-based Argumentation for Default Reasoning. Artificial Intelligence 141, 57–78 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  15. Dunne, P., Bench-Capon, T.: Coherence in Finite Argument Systems. Artificial Intelligence 141, 187–203 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  16. Baker, A.B., Ginsberg, M.L.: A theorem prover for prioritized circumscription. In: Proceedings of the 11th International Joint Conference on Artificial Intelligence, pp. 463–467. Morgan Kaufmann, San Francisco (1989)

    Google Scholar 

  17. Poole, D.L.: Explanation and prediction: an architecture for default and abductive reasoning. Computational Intelligence 5, 97–110 (1989)

    Article  Google Scholar 

  18. Przymusinski, T.: An algorithm to compute circumscription. Artificial Intelligence 38, 49–73 (1989)

    Article  MATH  MathSciNet  Google Scholar 

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Doutre, S., Mengin, J. (2004). On Sceptical Versus Credulous Acceptance for Abstract Argument Systems. In: Alferes, J.J., Leite, J. (eds) Logics in Artificial Intelligence. JELIA 2004. Lecture Notes in Computer Science(), vol 3229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30227-8_39

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  • DOI: https://doi.org/10.1007/978-3-540-30227-8_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23242-1

  • Online ISBN: 978-3-540-30227-8

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