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MultiAgent Planning: A Resource Based Approach

  • Conference paper
MICAI 2000: Advances in Artificial Intelligence (MICAI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1793))

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Abstract

Interaction among agents is the distinguish property of MultiAgent Systems (MAS). In order to take advantage of such interaction w.r.t goals (both local for each agent and common for a group of agents) distributed planning, (i.e. the generation of coordination and cooperation of activities) is fundamental. Distributed MAS planning can be uniformly modeled in terms of resources: formal plan representation and effective interacting methods. Respectively, plan representation can be expressed by means of logical proofs and interacting methods by means of asynchronous communication. This paper presents preliminary considerations for the definition of a model for distributed MAS planning based on resources. For this mean, HACL (Higher Order Asynchronous Communications in Linear Logic) is used for analysis on the structural model RPN (Recursive Petri Nets) for MultiAgent distributed planning and for specification of MAS interaction protocols.

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References

  1. Girard, J.-Y.: Linear logic. Theoretical Computer Science 50, 1–102 (1987); The seminal paper of Linear Logic

    Article  MATH  MathSciNet  Google Scholar 

  2. Girard, J.-Y.: Linear logic: Its syntax and semantics. In: Girard, J.-Y., Lafont, Y., Regnier, L. (eds.) Advances in Linear Logic, pp. 1–42. Cambridge University Press, Cambridge (1995); Proceedings of the Workshop on Linear Logic, Ithaca, New York (June 1993)

    Chapter  Google Scholar 

  3. Kobayashi, N., Shimizu, T., Yonezawa, A.: Distributed concurrent linear logic programming. Technical Report 94-12, Dpt. of Information Science, University of Tokyo (1998)

    Google Scholar 

  4. Kobayashi, N., Yonezawa, A.: ACL - a concurrent linear logic programming paradigm. In: Miller, D. (ed.) Proceedings of the 1993 International Logic Programming Symposium, Vancouver, Canada, pp. 279–294. MIT Press, Cambridge (1993)

    Google Scholar 

  5. Kobayashi, N., Yonezawa, A.: Higher-order concurrent linear logic programming. In: Ito, T., Yonezawa, A. (eds.) TPPP 1994. LNCS, vol. 907. Springer, Heidelberg (1995)

    Chapter  Google Scholar 

  6. Seghrouchni, A.E.-F., Hadad, S.: A Recursive Model for Distributed Planning. ICMAS 1996 1, 7–38 (1996)

    Google Scholar 

  7. Tanabe, M.: Timed Petri Nets and Temporal Linear Logic. Technical Report 98-2, Research Institute for Mathematical Sciences, Kyoto University, Japan (1998)

    Google Scholar 

  8. Graham White, G.: The design of a situation-based lygon metainterpreter: I. simple changes and persistence. Technical Report 729, Department of Computer Science, Queen Mary and Westfield College, University of London (1996)

    Google Scholar 

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© 2000 Springer-Verlag Berlin Heidelberg

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Palacios Pérez, J.J. (2000). MultiAgent Planning: A Resource Based Approach. In: Cairó, O., Sucar, L.E., Cantu, F.J. (eds) MICAI 2000: Advances in Artificial Intelligence. MICAI 2000. Lecture Notes in Computer Science(), vol 1793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720076_58

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  • DOI: https://doi.org/10.1007/10720076_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67354-5

  • Online ISBN: 978-3-540-45562-2

  • eBook Packages: Springer Book Archive

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