Reaching a Common Agreement Discourse Universe on Multi-Agent Planning

  • Alejandro Torreño
  • Eva Onaindia
  • Oscar Sapena
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6077)


Multi-Agent Planning (MAP) is the problem of having a group of agents working together to solve a problem that requires a collective effort. When coordination on a MAP system is done through negotiation, agents must share a common ontology. In this paper we propose a mechanism to reach a shared ontology through the definition of a common information model.


Simple Grouping Local Model Local Object Direct Mapping Common Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Carrascosa, C., Rebollo, M.: Agreement spaces for counselor agents (extended abstract). In: Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2009), pp. 1205–1206 (2009)Google Scholar
  2. 2.
    Chen, W., Decker, K.: Managing multi-agent coordination, planning, and scheduling. In: AAMAS, pp. 1360–1361 (2004)Google Scholar
  3. 3.
    de Weerdt, M., ter Mors, A., Witteveen, C.: Multi-agent planning. an introduction to planning and coordination. In: Handouts of the European Agent Systems Summer School (EASSS 2005), pp. 1–32 (2005)Google Scholar
  4. 4.
    Decker, K., Lesser, V.R.: Generalizing the partial global planning algorithm. Int. J. Cooperative Inf. Syst. 2(2), 319–346 (1992)Google Scholar
  5. 5.
    desJardins, M.E., Durfee, E.H., Ortiz, C.L., Wolverton, M.J.: A survey of research in distributed continual planning. AI Magazine 20(4), 13–22 (1999)Google Scholar
  6. 6.
    Erol, K., Hendler, J., Nau, D.: UCMP: A sound and complete procedure for hierarchical task-network planning. In: Proceedings of the International Conference on Artificial Intelligence Planning Systems, pp. 249–254 (1994)Google Scholar
  7. 7.
    Ghallab, M., Howe, A., Knoblock, C., McDermott, D., Ram, A., Veloso, M., Weld, D., Wilkins, D.: PDDL - the planning domain definition language. In: AIPS 1998 Planning Committee (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Alejandro Torreño
    • 1
  • Eva Onaindia
    • 1
  • Oscar Sapena
    • 1
  1. 1.Departamento Sistemas Informaticos y ComputacionUniversidad Politecnica ValenciaValenciaSpain

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