Abstract Architecture for Meta-reasoning in Multi-agent Systems

  • Michal Pěchouček
  • Olga Štěpánková
  • Vladimír Mařík
  • Jaroslav Bárta
Conference paper

DOI: 10.1007/3-540-45023-8_10

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2691)
Cite this paper as:
Pěchouček M., Štěpánková O., Mařík V., Bárta J. (2003) Abstract Architecture for Meta-reasoning in Multi-agent Systems. In: Mařík V., Pěchouček M., Müller J. (eds) Multi-Agent Systems and Applications III. CEEMAS 2003. Lecture Notes in Computer Science, vol 2691. Springer, Berlin, Heidelberg

Abstract

Agent’s meta-reasoning is a computational process that implements agent’s capability to reason on a higher level about another agents or a community of agents. There is a potential for meta-reasoning in multi-agent systems. Meta-reasoning can be used for reconstructing agents’ private knowledge, their mental states and for prediction of their future courses of action. Meta-agents should have the capability to reason about incomplete or imprecise information. Unlike the ordinary agents, the meta-agent may contemplate about the community of agents as a whole and is expected to contribute to agent’s operation efficiency improvement. This contribution suggests a theoretical specification of an abstract reasoning and knowledge representation architecture for the meta-reasoning agents and discusses/categorizes the related computational processes.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Michal Pěchouček
    • 1
  • Olga Štěpánková
    • 1
    • 2
  • Vladimír Mařík
    • 1
    • 2
  • Jaroslav Bárta
    • 2
  1. 1.Gerstner LaboratoryCzech Technical University in PraguePrague 6Czech Republic
  2. 2.Center ofApplied CyberneticsCzech Technical University in PraguePrague 6Czech Republic

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