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A Defeasible Logic of Policy-Based Intention

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AI 2003: Advances in Artificial Intelligence (AI 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2903))

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Abstract

Most of the theories on formalising intention interpret it as a unary modal operator in Kripkean semantics, which gives it a monotonic look. We argue that policy-based intentions exhibit non-monotonic behaviour which could be captured through a non-monotonic system like defeasible logic. To this end we outline a defeasible logic of intention. The proposed technique alleviates most of the problems related to logical omniscience. The proof theory given shows how our approach helps in the maintenance of intention-consistency in agent systems like BDI.

This research was partially supported by the University of Queensland under the grant UQRSF ITEE-03/2002001335.

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References

  1. Antoniou, G., Billington, D., Governatori, G., Maher, M.: A flexible framework for defeasible logics. In: AAAI 2000, pp. 401–405. AAAI/MIT Press (2000)

    Google Scholar 

  2. Antoniou, G., Billington, D., Governatori, G., Maher, M.J.: Representation results for defeasible logic. ACM Transactions on Computational Logic 2(2), 255–287 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  3. Billington, D.: Defeasible logic is stable. Journal of Logic and Computation 3, 370–400 (1993)

    Article  MathSciNet  Google Scholar 

  4. Chellas, B.F.: Modal Logic, An Introduction. Cambridge University Press, Cambridge (1980)

    MATH  Google Scholar 

  5. Chen, X., Liu, G.: A logic of intention. In: ICJAI 1999 (1999)

    Google Scholar 

  6. Cohen, P.R., Levesque, H.J.: Persistence, intention and commitment. In: Proceedings Timberline workshop on Reasoning about plans and actions, pp. 297–338 (1986)

    Google Scholar 

  7. Cohen, P.R., Levesque, H.J.: Intention is choice with commitment. Artificial Intelligence 42(3) (1990)

    Google Scholar 

  8. Bratman, M.E.: Intentions, Plans and Practical Reason. Harvard University Press, Cambridge (1987)

    Google Scholar 

  9. Governatori, G., Maher, M.J.: An argumentation-theoretic characterisation of defeasible logic. In: ECAI 2000, pp. 469–473 (2000)

    Google Scholar 

  10. Hintikka, J.: Knowledge and Belief. Cornell University Press, Ithica (1962)

    Google Scholar 

  11. Pollock, M.E., Konolige, K.: A representationalist theory of intention. In: IJCAI 1993, pp. 390–395 (1993)

    Google Scholar 

  12. Lobo, J., Bhatia, R., Naqvi, S.: A policy description language. In: AAAI 1999. AAAI/MIT Press (1999)

    Google Scholar 

  13. Maher, M.J.: Propositional defeasible logic has linear complexity. Theory and. Practice of Logic Programming 1(6), 691–711 (2001)

    MATH  MathSciNet  Google Scholar 

  14. Maher, M.J., Governatori, G.: A semantic decomposition of defeasible logic. In: AAAI 1999 (1999)

    Google Scholar 

  15. Maher, M.J., Rock, A., Antoniou, G., Billignton, D., Miller, T.: Efficient defeasible reasoning systems. International Journal of Artificial Intelligence Tools 10(4) (2001)

    Google Scholar 

  16. Nute, D.: Defeasible logic. In: Handbook of Logic in Artificial Intelligence and Logic Programming, vol. 3, pp. 353–395. Oxford University Press, Oxford (1987)

    Google Scholar 

  17. Rao, A.S., Georgeff, M.P.: Modelling rational agents within a BDIarchitecture. In: KR 1991, pp. 473–484. Morgan Kaufmann, San Francisco (1991)

    Google Scholar 

  18. Singh, M.P.: Semantical considerations on intention dynamics for BDI agents. Journal of Experimental and Theoretical Artificial Intelligence (1998)

    Google Scholar 

  19. Son, T.C., Lobo, J.: Reasoning about policies using logic programa. In: AAAIspring symposium on answer set programming, March 26-28 (2001)

    Google Scholar 

  20. Sugimoto, T.: A preference-based theory of intention. In: Mizoguchi, R., Slaney, J.K. (eds.) PRICAI 2000. LNCS, vol. 1886, Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  21. Thanagrajah, J., Padgham, L., Harland, J.: Representation and reasoning for goals in BDI agents. In: Australasian Conference on Computer Science (2002)

    Google Scholar 

  22. Van Linder, B.: Modal Logic for Rational Agents. PhD thesis, Department of Computer Science, Utrecht University June 19 (1996)

    Google Scholar 

  23. Zamparelli, R.: Intentions are plans plus wishes (and more). In: AAAI Spring symposium 1993 (1993)

    Google Scholar 

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Governatori, G., Padmanabhan, V. (2003). A Defeasible Logic of Policy-Based Intention. In: Gedeon, T.(.D., Fung, L.C.C. (eds) AI 2003: Advances in Artificial Intelligence. AI 2003. Lecture Notes in Computer Science(), vol 2903. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24581-0_35

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  • DOI: https://doi.org/10.1007/978-3-540-24581-0_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20646-0

  • Online ISBN: 978-3-540-24581-0

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