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Arguments Using Ontological and Causal Knowledge

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Foundations of Information and Knowledge Systems (FoIKS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8367))

Abstract

We explore an approach to reasoning about causes via argumentation. We consider a causal model for a physical system, and we look for arguments about facts. Some arguments are meant to provide explanations of facts whereas some challenge these explanations and so on. At the root of argumentation here, are causal links ({A 1, ⋯ ,A n } causes B) and also ontological links (c 1 is_a c 2). We introduce here a logical approach which provides a candidate explanation ({A 1, ⋯ ,A n } explains {B 1, ⋯ ,B m }) by resorting to an underlying causal link substantiated with appropriate ontological links. Argumentation is then at work from these various explanation links. A case study is developed: a severe storm Xynthia that devastated a county in France in 2010, with an unaccountably high number of casualties.

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References

  1. Besnard, P., Cordier, M.-O., Moinard, Y.: Deriving explanations from causal information. In: Ghallab, M., Spytopoulos, C.D., Fakotakis, N., Avouris, N.M. (eds.) ECAI 2008, pp. 723–724. IOS Press (2008)

    Google Scholar 

  2. Besnard, P., Cordier, M.-O., Moinard, Y.: Ontology-based inference for causal explanation. Integrated Computer-Aided Engineering 15, 351–367 (2008)

    Google Scholar 

  3. Besnard, P., Hunter, A.: Elements of Argumentation. MIT Press, Cambridge (2008)

    Book  Google Scholar 

  4. Dung, P.M.: 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 

  5. Friedrich, G., Zanker, M.: A taxonomy for generating explanations in recommender systems. AI Magazine 32(3), 90–98 (2011)

    Google Scholar 

  6. Gebser, M., Kaminski, R., Kaufmann, B., Schaub, T.: Answer Set Solving in Practice. Synthesis Lectures on Artificial Intelligence and Machine Learning. Morgan and Claypool Publishers (2012)

    Google Scholar 

  7. Giboney, J.S., Brown, S., Nunamaker Jr., J.F.: User acceptance of knowledge-based system recommendations: Explanations, arguments, and fit. In: 45th Annual Hawaii International Conference on System Sciences (HICSS’45), pp. 3719–3727. IEEE Computer Society (2012)

    Google Scholar 

  8. Halpern, J.Y., Pearl, J.: Causes and Explanations: A Structural-Model Approach. Part I: Causes. In: Breese, J.S., Koller, D. (eds.) 17th Conference in Uncertainty in Artificial Intelligence (UAI 2001), pp. 194–202. Morgan Kaufmann (2001)

    Google Scholar 

  9. Halpern, J.Y., Pearl, J.: Causes and Explanations: A Structural-Model Approach. Part II: Explanations. In: Nebel, B. (ed.) 17th International Joint Conference on Artificial Intelligence (IJCAI 2001), pp. 27–34. Morgan Kaufmann (2001)

    Google Scholar 

  10. Lacave, C., Díez, F.J.: A review of explanation methods for heuristic expert systems. The Knowledge Engineering Review 19, 133–146 (2004)

    Article  Google Scholar 

  11. Mellor, D.H.: The Facts of Causation. Routledge, London (1995)

    Book  Google Scholar 

  12. Moulin, B., Irandoust, H., Bélanger, M., Desbordes, G.: Explanation and argumentation capabilities: Towards the creation of more persuasive agents. Artif. Intell. Rev. 17(3), 169–222 (2002)

    Article  MATH  Google Scholar 

  13. Walton, D.: Explanations and arguments based on practical reasoning. In: Roth-Berghofer, T., Tintarev, N., Leake, D.B. (eds.) Workshop on Explanation-Aware Computing at IJCAI 2009, Pasadena, CA, U.S.A, pp. 72–83 (July 2009)

    Google Scholar 

  14. Ye, L.R., Johnson, P.E.: The impact of explanation facilities in user acceptance of expert system advice. MIS Quarterly 19(2), 157–172 (1995)

    Article  Google Scholar 

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Besnard, P., Cordier, MO., Moinard, Y. (2014). Arguments Using Ontological and Causal Knowledge. In: Beierle, C., Meghini, C. (eds) Foundations of Information and Knowledge Systems. FoIKS 2014. Lecture Notes in Computer Science, vol 8367. Springer, Cham. https://doi.org/10.1007/978-3-319-04939-7_3

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  • DOI: https://doi.org/10.1007/978-3-319-04939-7_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04938-0

  • Online ISBN: 978-3-319-04939-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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