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Context Dynamic and Explanation in Contextual Graphs

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Modeling and Using Context (CONTEXT 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2680))

Abstract

This paper discusses the dynamic of context through the use of a context-based formalism called contextual graphs that has been initially developed in the SART application for the development of a support system in incident solving on a subway line. First, we present the formalism of contextual graphs through its new implementation. Second, we discuss the dynamic of context in contextual graphs. Third, we present two characteristics of contextual graphs as they relate to the dynamic of context, the incremental knowledge acquisition and the explanation generation. We conclude by a discussion of the key properties and the potential of contextual graphs for other applications.

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References

  1. Brézillon, P.: Context in problem solving: A survey. The Knowledge Engineering Review, 14(1) (1999) 1–34

    Article  Google Scholar 

  2. Brézillon, P.: Modeling and using context: Past, present and future. Rapport de Recherche du LIP6 2002/010, Université Paris 6, France. http://www.lip6.fr/reports/lip6.2002.010.html (2002)

    Google Scholar 

  3. Brézillon, P.: Using context for Supporting Users Efficiently. Proceedings of the 36th Hawaii International Conference on Systems Sciences, HICSS-36, Track “Emerging Technologies”, R.H. Sprague (Ed.), Los Alamitos: IEEE, CD-Rom (2003a)

    Google Scholar 

  4. Brézillon, P.: Contextual graphs: A context-based formalism for knowledge and reasoning in representation. To appear in Research Report, LIP6, University Paris 6, France (2003b)

    Google Scholar 

  5. Brézillon, P., Cases, E.: Cooperating for assisting intelligently operators. Design of Cooperative Systems (COOP-95). INRIA (Publisher) (1995) 370–384

    Google Scholar 

  6. Brézillon, P., Pomerol, J.-Ch.,: User acceptance of interactive systems: Lessons from Knowledge-Based and Decision Support Systems. International Journal on Failures & Lessons Learned in Information Technology Management 1(1)(1997) 67–75.

    Google Scholar 

  7. Brézillon, P., Pomerol, J.-Ch.: Contextual knowledge sharing and cooperation in intelligent assistant systems. Le Travail Humain, 62(3) (1999) 223–246

    Google Scholar 

  8. Brézillon P., Pasquier L., Pomerol J.-Ch.: Reasoning with contextual graphs. European Journal of Operational Research, 136(2) (2002) 290–298

    Article  MATH  Google Scholar 

  9. Clancey W.J. Model construction operators. Artificial Intelligence, 53 (1992) 1–115

    Article  Google Scholar 

  10. Compton, P., Jansen, R.: Knowledge in context: a strategy for expert system maintenance. Barter, C.J. and Brooks, M.J., Ed. AI’88: 2nd Australian Joint Artificial Intelligence Conference, Adelaide Australia, November 1988, Proceedings. Berlin, Springer (1990a) 292–306

    Google Scholar 

  11. Compton, P., Jansen, R.: A philosophical basis for knowledge acquisition. Knowledge Acquisition 2(3) (1990b) 241–258

    Article  Google Scholar 

  12. Gaines, B.R., Compton, P.: Induction of Ripple-Down rules applied to modeling large databases. Journal of Intelligent Information Systems, 5(3) (1995) 211–228

    Article  Google Scholar 

  13. Gonzalez, A.J., Ahlers, R, Context-based representation of intelligent behavior in training simulations. Transactions 15(4) (1997) 153–166

    Google Scholar 

  14. Leake, D B,: Case-based reasoning: Experiences, lessons, and future directions. Chapter I. CBR in context: The present and future Menlo Park: AAAI Press/MIT Press (1996)

    Google Scholar 

  15. McCarthy, J,: Notes on formalizing context Proceedings of the 13th IJCAI 1 (1993) 555–560

    Google Scholar 

  16. Pasquier L.: Modélisation de raisonnement tenus en contexte. Application à la gestion d’incidents sur une ligne de métro. Thèse de l’Université Paris 6, juillet (2002)

    Google Scholar 

  17. Pasquier, L., Brézillon, P., Pomerol J.-Ch.: Context and decision graphs in incident management on a subway line. Modeling and Using Context (CONTEXT-99). In: Lecture Notes in Artificial Intelligence, No 1688, Springer Verlag (1999) 499–502

    Google Scholar 

  18. Pomerol J-Ch.,: Decision Making Biases and Context, Brussels DSS Conference, Journal of Decision Systems (2003, to appear)

    Google Scholar 

  19. Pomerol J.-Ch.., Brézillon P. Dynamics between contextual knowledge and proceduralized context, in Modeling and Using Context (CONTEXT-99), Lecture Note in Artificial Intelligence no 1688, Springer Verlag, (1999) 284–295

    Google Scholar 

  20. Pomerol J.-Ch., Brézillon P. About some relationships between knowledge and context. In: P. Bouquet, L. Serafini, P. Brézillon, M. Benerecetti, F. Castellani (Eds.): Modeling and Using Context (CONTEXT-01). Lecture Notes in Computer Science, Springer Verlag, No 1688, (2001) 461–464. (Full paper at http://www-poleia.lip6.fr/~brezil/Pages2/Publications/CXT01/index.html)

    Chapter  Google Scholar 

  21. Sowa, J.F.: “Conceptual Structures: Information Processing in Mind and Machine”, Addison Wesley Publishing Company (1984)

    Google Scholar 

  22. Sowa, J.F.: Knowledge Representation: Logical, Philosophical, and Computational Foundations, Brooks Cole Publishing Co., Pacific Grove, CA, ©2000. Actual publication date, 16 August 1999. 594 + xiv pages; ISBN 0-534-94965-7

    Google Scholar 

  23. Turner, R M,: “Context-mediated behavior for intelligent agents” International Journal of Human-Computer Studies Special Issue on Using Context in Applications 48(3): (1998) 307–330

    Article  Google Scholar 

  24. Walker, R.J.,d Murphy, G.C.: Implicit context: easing software evolution and reuse. In: D.S. Rosenblum (ed.) Proc. of the ACM SIGSOFT Eighth Int. Symp. on the Foundations of Software Engineering (FSE-8). ACM Press, (2000) 69–78

    Google Scholar 

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Brézillon, P. (2003). Context Dynamic and Explanation in Contextual Graphs. In: Blackburn, P., Ghidini, C., Turner, R.M., Giunchiglia, F. (eds) Modeling and Using Context. CONTEXT 2003. Lecture Notes in Computer Science(), vol 2680. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44958-2_8

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  • DOI: https://doi.org/10.1007/3-540-44958-2_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40380-7

  • Online ISBN: 978-3-540-44958-4

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