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On the Use of Multi-dimensional Dynamic Logic Programming to Represent Societal Agents’ Viewpoints

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Book cover Progress in Artificial Intelligence (EPIA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2258))

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Abstract

This paper explores the applicability of the new paradigm of Multi-dimensional Dynamic Logic Programming to represent an agent’s view of the combination of societal knowledge dynamics. The representation of a dynamic society of agents is the core of \( \mathcal{M}\mathcal{I}\mathcal{N}\varepsilon \mathcal{R}\mathcal{V}\mathcal{A} \) [11], an agent architecture and system designed with the intention of providing a common agent framework based on the unique strengths of Logic Programming, hat allows the combination of several non-monotonic knowledge representation and reasoning mechanisms developed in recent years.

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References

  1. J. J. Alferes, J. A. Leite, L. M. Pereira, H. Przymusinska, and T. Przymusinski. Dynamic updates of non-monotonic knowledge bases. Journal of Logic Programming, 45(1–3):43–70, 2000. Short version titled Dynamic Logic Programming appeared in Procs. of KR-98.

    Article  MATH  MathSciNet  Google Scholar 

  2. J. J. Alferes, L. M. Pereira, H. Przymusinska, and T. Przymusinski. LUPS: A language for updating logic programs. Artificial Intelligence, 2001. To appear. Short version appeared in Procs of LPNMR-99, LNAI-1730.

    Google Scholar 

  3. M. Bozzano, G. Delzanno, M. Martelli, V. Mascardi, and F. Zini. Logic programming and multi-agent system: A synergic combination for applications and semantics. In The Logic Programming Paradigm-A 25-Year Perspective. Springer, 1999.

    Google Scholar 

  4. F. Buccafurri, W. Faber, and N. Leone. Disjunctive logic programs with inheritance. In Procs. of ICLP-99. MIT Press, 1999.

    Google Scholar 

  5. P. Dell’Acqua and L. M. Pereira. Updating agents. In Procs of MAS-99, ICLP-99 Ws., 1999.

    Google Scholar 

  6. T. Eiter, M. Fink, G. Sabbatini, and H. Tompits. Considerations on updates of logic programs. In Procs. of JELIA-00, LNAI-1919. Springer, 2000.

    Google Scholar 

  7. M. Gelfond and V. Lifschitz. The stable semantics for logic programs. In Procs. of ICLP-88. MIT Press, 1988.

    Google Scholar 

  8. N. R. Jennings, K. Sycara, and M. Wooldridge. A roadmap of agent research and development. Journal of Autonomous Agents and Multi-Agent Systems, 1(1):7–38, 1998.

    Article  Google Scholar 

  9. E. Lamma, F. Riguzzi, and L. M. Pereira. Strategies in combined learning via logic programs. Machine Learning, 38(1/2):63–87, 2000.

    Article  MATH  Google Scholar 

  10. J. A. Leite, J. J. Alferes, and L. M. Pereira. Multi-dimensional dynamic logic programming. In Procs. of CLIMA’00, pages 17–26, 2000.

    Google Scholar 

  11. J. A. Leite, J. J. Alferes, and L. M. Pereira. MINERVA-a dynamic logic programming agent architecture. In Procs. of ATAL’01, 2001.

    Google Scholar 

  12. J. A. Leite, F. C. Pereira, A. Cardoso, and L. M. Pereira. Metaphorical mapping consistency via dynamic logic programming. In Procs. of AISB’00. AISB, 2000.

    Google Scholar 

  13. V. Lifschitz and T. Woo. Answer sets in general non-monotonic reasoning (preliminary report). In Procs. of KR-92. Morgan-Kaufmann, 1992.

    Google Scholar 

  14. I. Niemelä and P. Simons. Smodels: An implementation of the stable model and well-founded semantics for normal LP. In Procs. of LPNMR’97, volume 1265 of LNAI. Springer, 1997.

    Google Scholar 

  15. P. Quaresma and I. P. Rodrigues. A collaborative legal information retrieval system using dynamic logic programming. In Procs. of ICAIL-99. ACM Press, 1999.

    Google Scholar 

  16. F. Sadri and F. Toni. Computational logic and multiagent systems: A roadmap, 1999. Available from http://www.compulog.org.

  17. C. Sakama and K. Inoue. Updating extended logic programs through abduction. In Procs. of LPNMR-99. Springer, 1999.

    Google Scholar 

  18. XSB-Prolog. The XSB logic programming system, version 2.0, 1999. Available at http://www.cs.sunysb.edu/ sbprolog.

  19. Y. Zhang and N. Foo. Updating logic programs. In Procs. of ECAI'98. Morgan Kaufmann, 1998.

    Google Scholar 

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Leite, J.A., Alferes, J.J., Pereira, L.M. (2001). On the Use of Multi-dimensional Dynamic Logic Programming to Represent Societal Agents’ Viewpoints. In: Brazdil, P., Jorge, A. (eds) Progress in Artificial Intelligence. EPIA 2001. Lecture Notes in Computer Science(), vol 2258. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45329-6_28

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  • DOI: https://doi.org/10.1007/3-540-45329-6_28

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