Meta-reasoning for Agents’ Private Knowledge Detection

  • Jan Tožička
  • Jaroslav Bárta
  • Michal Pěchouček
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2782)


Agent’s meta-reasoning is a computational process that implements agent’s capability to reason on a higher level about another agent 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. This contribution presents application of the meta-reasoning process for the agent’s private knowledge detection within the multi-agent system for planning of humanitarian relief operations.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Pěchouček, M., Mařík, V., Bárta, J.: A knowledge-based approach to coalition formation. IEEE Intelligent Systems 17, 17–25 (2002)Google Scholar
  2. 2.
    Pěchouček, M., Štěpánková, O., Mařík, V., Bárta, J.: Abstract architecture for meta-reasoning in multi-agent systems. In: Mařík, V., Müller, J.P., Pěchouček, M. (eds.) CEEMAS 2003. LNCS (LNAI), vol. 2691, p. 84. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  3. 3.
    Bárta, J., Tožička, J., Pěchouček, M., Štěpánková, O.: Meta-reasoning in CPlanT multi-agent system. Technical report, Technical Report of the Gerstner Laboratory ©, Czech Techical University in Prague (2003)Google Scholar
  4. 4.
    Tambe, M.: Towards flexible teamwork. Journal of Artificial Intelligence Research 7, 83–124 (1997)Google Scholar
  5. 5.
    Mařík, V., Pěchouček, M., Štěpánková, O.: Social knowledge in multi-agent systems. In: Luck, M., Mařík, V., Štěpánková, O., Trappl, R. (eds.) ACAI 2001 and EASSS 2001. LNCS (LNAI), vol. 2086, p. 211. Springer, Heidelberg (2001)Google Scholar
  6. 6.
    Pěchouček, M., Norrie, D.: Knowledge structures for reflective multi-agent systems: On reasoning about other agents. Research Report 538. University of Calgary, Calgary (2000)Google Scholar
  7. 7.
    McGuire, J., Kuokka, D., Weber, J., Tenebaum, J., Gruber, T., Olsen, G.: Shade: Technology for knowledge-based collaborative engineering. Concurrent Engineering: Research and Applications 1(3) (1993)Google Scholar
  8. 8.
    Shen, W., Norrie, D., Barthes, J.: Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing. Taylor and Francis, London (2001)Google Scholar
  9. 9.
    Decker, K., Sycara, K., Williamson, M.: Middle agents for internet. In: Proceedings of International Joint Conference on Artificial Intelligence 1997, Japan (1997)Google Scholar
  10. 10.
    Sycara, K., Lu, J., Klusch, M., Widoff, S.: Dynamic service matchmaking among agents in open information environments. ACM SIGMOID Record 28, 211–246 (1999)Google Scholar
  11. 11.
    Chang, C., Lee, C.R.: Symbolic Logic and Mechanical Theorem Proving. Academic Press, New York (1973)MATHGoogle Scholar
  12. 12.
    Pěchouček, M., Štěpánková, O., Mikšovský, P.: Maintenance of discovery knowledge. In: Zitkow, R.J. (ed.) Priciples of Data Mining and Knowledge Discovery, pp. 476–483. Springer, Heidelberg (1999)Google Scholar
  13. 13.
    Mitchell, T.: Generalization as search. Artificial Intelligence, 203–226 (1982)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Jan Tožička
    • 1
  • Jaroslav Bárta
    • 2
  • Michal Pěchouček
    • 1
  1. 1.Gerstner LaboratoryCzech Technical University in Prague 
  2. 2.Center of Applied CyberneticsCzech Technical University in Prague, Technicka 2Prague 6Czech Republic

Personalised recommendations