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Contradiction and confirmation

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Book cover Database and Expert Systems Applications (DEXA 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 720))

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Abstract

In most expert systems, efforts are made to keep the rules in the knowledge base free from contradictions., because a logical system that generates even a single contradiction may collapse. We argue that not only can contradictions be tolerated, but in fact they are useful. An excellent test of an argument is to compare it with the best argument for the opposing view. Accordingly, we propose a multilevel architecture, where the object level may include contradictory rules, and the metalevels resolve these conflicts. Once such an architecture exists, there are advantages to allowing contradictions in wider contexts. In a legal context we may want to examine both sides of an argument. In administrative applications, we may need systems that ‘look over a clerk's shoulder’ to check that he is following one of several plausible, but not necessarily compatible, approaches. We are currently implementing these ideas.

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References

  1. Aiello, L., Levi, G., “The uses of metaknowledge in AI systems”, in Meta-level architectures and reflection, eds P. Maes, D. Nardi, North-Holland, 1988

    Google Scholar 

  2. Bench-Capon, T.J.M., Robinson, G.O., Routen, T.W., Sergot, M.J., “Logic Programming for Large Scale Applications in Law: A Formalization of Supplementary Benefits Legislation”, in Proceedings of the First International Conference on Artificial Intelligence and Law; Northeastern University, Boston, ACM Press, 1987

    Google Scholar 

  3. Bench-Capon, T.J.M, Sergot, M., “Toward a Rule-Based Representation of Open Texture in Law”, in Computer Power and Legal Language, ed. C. Walter, Quorum Books, New York, 1988

    Google Scholar 

  4. Bench-Capon, T.J.M., Coenen, F., “Isomorphism and Legal Knowledge Based Systems”, Artificial Intelligence and Law,1 (1), 1992

    Google Scholar 

  5. Bourcier, D., “De la règle de droit à la base de règles. Comment modéliser la décision juridique?”, Actes du Séminaire Sciences du texte juridique, Far Hills, Québec, 1992, to appear in: Sciences du texte juridique, Yvon Blais, Cowansville, 1993

    Google Scholar 

  6. Bowen, K.A., “Meta-level Programming and Knowledge Representation”, New Generation Computing, 3, 1985

    Google Scholar 

  7. Breuker, J., den Haan, N., “Separating world and regulation knowledge: where is the logic?”, in Proceedings of the Third International Conference on Artificial Intelligence and Law, St. Catherine's College, Oxford, ACM Press, 1991

    Google Scholar 

  8. Cheng, A.S.K., Robinson, P.J., Staples, J., “Higher Level Meta Programming in Qu-Prolog 3.0”, in Proceedings of the 8th International Conference on Logic Programming, ed. K. Furukawa, MIT Press, 1991

    Google Scholar 

  9. Côté, P-A, Interprétation des lois, 2ième édition, Yvon Blais, Cowansville, 1990.

    Google Scholar 

  10. Guidotti, P., Mariani, P., Sardu, G., Tiscornia, D., “Metalevel Reasoning — The Design of a System to Handle Legal Knowledge Bases”, in Settimo Convegno Sulla Programmazione Logica, GULP 92, Tremezzo, 1992

    Google Scholar 

  11. Hamfelt, A., Building Modular Legal Knowledge Systems. The Multilevel Structure of Legal Knowledge and its Representation, The Swedish Institute of Law and Informatics Research, IRI-Rapport 1990:2, 1990.

    Google Scholar 

  12. Hamfelt, A., “Metalogic Representation of Multilayered Knowledge”, PhD Thesis, Uppsala Theses in Computer Science 15, Uppsala University, 1992

    Google Scholar 

  13. Lenat, D. et al., “Reasoning about Reasoning”, in Building Expert Systems, eds F. Hayes-Roth, D. A. Waterman, D. B. Lenat, Addison-Wesley, 1983

    Google Scholar 

  14. MacCormick, D.N., Summers, R.S. Interpreting Statutes: A Comparative Study, Dartmouth Publishing, Aldershot, 1991

    Google Scholar 

  15. McCarthy, L.T., “A Language for Legal Discourse: 1 — Basic Features”, in Proceedings of the Second International Conference on AI and Law, UBC, Vancouver, ACM Press, 1989

    Google Scholar 

  16. Reiter, R., “On Closed World Data Bases”, in Readings in Artificial Intelligence, eds B.L. Webber, N.J. Nilsson, Morgan Kaufmann, 1981

    Google Scholar 

  17. Routen, T.W., Bench-Capon, T.J.M., “Hierarchical Formalizations”, International Journal of Man-Machine Studies, 35, 1991

    Google Scholar 

  18. Russell, S., Wefald, E., “Principles of metareasoning”, Artificial Intelligence, 49, 1991

    Google Scholar 

  19. Sergot, M.J., Fariba, S., Kowalski, R.A., Kriwaczek, F., Hammond, P., Cory, H.T., “The British Nationality Act as a Logic Program”. Communications of ACM, 29(5), 1986

    Google Scholar 

  20. van Harmelen, F., “A Classification of Meta-level Architectures”, in Meta-Programming in Logic Programming, eds H. Abramson, M.H. Rogers, MIT Press, 1989

    Google Scholar 

  21. Wróblewski, J. “Paradigms of Justifying Legal Decisions”, in Theory of Legal Science, Proceedings of the Conference on Legal Theory and Philosophy of Science, Lund, Sweden, December 1983

    Google Scholar 

  22. Yoshino, H., Kakuta, T., “The Knowledge Representation of Legal Expert System LES-3.3 with Legal Meta-inference”, in Proceedings of the 6th International Symposium on Legal Knowledge and Legal Reasoning Systems, Tokyo, October 1992

    Google Scholar 

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Vladimír Mařík Jiří Lažanský Roland R. Wagner

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© 1993 Springer-Verlag Berlin Heidelberg

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Poulin, D., St-Vincent, P., Bratley, P. (1993). Contradiction and confirmation. In: Mařík, V., Lažanský, J., Wagner, R.R. (eds) Database and Expert Systems Applications. DEXA 1993. Lecture Notes in Computer Science, vol 720. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57234-1_51

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  • DOI: https://doi.org/10.1007/3-540-57234-1_51

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57234-3

  • Online ISBN: 978-3-540-47982-6

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