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Assumption-Based Argumentation for Epistemic and Practical Reasoning

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Computable Models of the Law

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4884))

Abstract

Assumption-based argumentation can serve as an effective computational tool for argumentation-based epistemic and practical reasoning, as required in a number of applications. In this paper we substantiate this claim by presenting formal mappings from frameworks for epistemic and practical reasoning onto assumption-based argumentation frameworks. We also correlate these mappings to formulations of epistemic and practical reasoning in abstract argumentation terms.

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References

  1. Bench-Capon, T., Prakken, H.: Justifying actions by accruing arguments. In: COMMA 2006 (2006)

    Google Scholar 

  2. Bondarenko, A., Dung, P., Kowalski, R., Toni, F.: An abstract, argumentation-theoretic framework for default reasoning. Artificial Intelligence 93(1-2), 63–101 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  3. Brewka, G.: Well-founded semantics for extended logic programs with dynamic preferences. Journal of Artificial Intelligence Research 4, 19 (1996)

    MATH  MathSciNet  Google Scholar 

  4. Caminada, M., Amgoud, L.: An axiomatic account of formal argumentation. In: Proc. AAAI (2005)

    Google Scholar 

  5. 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 

  6. Dung, P.: The acceptability of arguments and its fundamental role in non-monotonic reasoning and logic programming and n-person game. Artificial Intelligence 77, 321–357 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  7. Dung, P., Kowalski, R., Toni, F.: Dialectic proof procedures for assumption-based, admissible argumentation. Artificial Intelligence 170, 114–159 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  8. Dung, P., Mancarella, P., Toni, F.: A dialectic procedure for sceptical, assumption-based argumentation. In: 1st International Conference on Computational Models of Argument (COMMA 2006) (September 2006)

    Google Scholar 

  9. Dung, P.M., Mancarella, P., Toni, F.: Computing ideal sceptical argumentation. Artificial Intelligence, Special Issue on Argumentation in Artificial Intelligence 171(10-15), 642–674 (2007)

    MathSciNet  Google Scholar 

  10. Gaertner, D., Toni, F.: A credulous and sceptical argumentation system. In: Proceedings of ArgNMR (2007), www.doc.ic.ac.uk/~dg00/casapi.html

  11. Gaertner, D., Toni, F.: On computing arguments and attacks in assumption-based argumentation. IEEE Intelligent Systems, Special Issue on Argumentation Technology 22(6), 24–33 (2007)

    Google Scholar 

  12. Garcia, A., Simari, G.: Defeasible logic programming: An argumentative approach. Journal of Theory and Practice of Logic Prog. 4(1-2), 95–138 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  13. Governatori, G., Maher, M.J., Billington, D., Antoniou, G.: Argumentation semantics for defeasible logics. Journal of Logic and Computation 14(5), 675–702 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  14. Kakas, A., Mancarella, P., Dung, P.: The acceptability semantics for logic programs. In: Hentenryck, P.V. (ed.) Proc. ICLP, pp. 504–519. MIT Press, Cambridge (1994)

    Google Scholar 

  15. Kakas, A., Moraitis, P.: Argumentation based decision making for autonomous agents. In: Proceedings of AAMAS 2003, pp. 883–890 (2003)

    Google Scholar 

  16. Kakas, A.C., Moraitis, P.: Argumentation based decision making for autonomous agents. In: AAMAS, pp. 883–890 (2003)

    Google Scholar 

  17. Kowalski, R.A., Toni, F.: Abstract argumentation. Journal of Artificial Intelligence and Law, Special Issue on Logical Models of Argumentation 4(3-4), 275–296 (1996)

    Google Scholar 

  18. Prakken, H., Sartor, G.: On the relation between legal language and legal argument: assumptions, applicability and dynamic priorities. In: Proc. of the 5th ICAIL, pp. 1–10. ACM Press, New York (1995)

    Google Scholar 

  19. Prakken, H., Sartor, G.: Argument-based extended logic programming with defeasible priorities. Journal of Applied Non-Classical Logics 7(1), 25–75 (1997)

    MATH  MathSciNet  Google Scholar 

  20. Prakken, H., Sartor, G.: The role of logic in computational models of legal argument: a critical survey. In: Kakas, A.C., Sadri, F. (eds.) Computational Logic: Logic Programming and Beyond. LNCS (LNAI), vol. 2408, pp. 342–381. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  21. Rahwan, I., Amgoud, L.: An argumentation-based approach for practical reasoning. In: Proc. AAMAS 2006, pp. 347–354. ACM Press, New York (2006)

    Chapter  Google Scholar 

  22. Toni, F.: Assumption-based argumentation for closed and consistent defeasible reasoning. In: Nitta, K., Tojo, S., Satoh, K. (eds.) Proceedings First International Workshop on Juris-informatics (JURISIN 2007), in association with The 21th Annual Conference of The Japanese Society for Artificial Intelligence (JSAI 2007), 19 June (2007)

    Google Scholar 

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Toni, F. (2008). Assumption-Based Argumentation for Epistemic and Practical Reasoning. In: Casanovas, P., Sartor, G., Casellas, N., Rubino, R. (eds) Computable Models of the Law. Lecture Notes in Computer Science(), vol 4884. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85569-9_12

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  • DOI: https://doi.org/10.1007/978-3-540-85569-9_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85568-2

  • Online ISBN: 978-3-540-85569-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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