Structural Self-organized Holonic Multi-Agent Manufacturing Systems

  • José Barbosa
  • Paulo Leitão
  • Emmanuel Adam
  • Damien Trentesaux
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8062)


Worldwide systems are increasingly growing into unprecedented complexity levels. This increase of system complexity has to be tackled with new control approaches, where decentralization is playing an important role and particularly the Multi-Agent Systems and Holonic Systems. Despite the benefits of this distribution, new problems arise such as the need for entities coordination. This paper proposes an innovative holonic multi-agent system architecture, named ADACOR2, which sets foundation on the already proved ADACOR architecture. This new control architecture is empowered by a two vector self-organization, called behavioural and structural self-organization. This paper describes the structural self-organization vector, particularizing the need for embedding in it learning techniques and nervousness stabilizer. A futuristic test bed, inspired in a real flexible-manufacturing system, is used to demonstrate the benefits of this vector in the architecture.


self-organization multi-agent systems reconfigurable manufacturing control 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Wooldridge, M.J.: An introduction to multiagent systems. John Wiley & Sons, Chichester (2009)Google Scholar
  2. 2.
    Koestler, A.: The Ghost in the Machine. Arkana Books (1969)Google Scholar
  3. 3.
    Leitão, P.: Agent-based Distributed Manufacturing Control: A State-of-the-art Survey. Proceedings of the International Journal of Engineering Applications of Artificial Intelligence 22(7), 979–991 (2009)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Leitão, P., Marik, V., Vrba, P.: Past, Present, and Future of Industrial Agent Applications. IEEE Transactions on Industrial Informatics, 1 (2012)Google Scholar
  5. 5.
    Leitão, P., Restivo, F.: ADACOR: A Holonic Architecture for Agile and Adaptive Manufacturing Control. Computers in Industry 57(2), 121–130 (2006)CrossRefGoogle Scholar
  6. 6.
    Parunak, H. Van Dyke, Brueckner, S.A., Matthews, R., Sauter, J.: How to calm hyperactive agents. In: Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2003, Melbourne, Australia, pp. 1092–1093. ACM, New York (2003)Google Scholar
  7. 7.
    Hadeli, Valckenaers, P., Verstraete, P., Germain, B.S., Van Brussel, H.: A Study of System Nervousness in Multi-agent Manufacturing Control System. In: Brueckner, S.A., Di Marzo Serugendo, G., Hales, D., Zambonelli, F. (eds.) ESOA 2005. LNCS (LNAI), vol. 3910, pp. 232–243. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  8. 8.
    Barbosa, J., Leitão, P., Adam, E., Trentesaux, D.: Nervousness in Dynamic Self-organized Holonic Multi-agent Systems. In: Pérez, J.B., et al. (eds.) Highlights on PAAMS. AISC, vol. 156, pp. 9–17. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  9. 9.
    Borgo, S., Leitão, P.: Foundations for a Core Ontology of Manufacturing. In: Sharman, et al. (eds.) Ontologies, pp. 751–775. Springer, USGoogle Scholar
  10. 10.
    Panait, L., Luke, S.: Cooperative Multi-Agent Learning: The State of the Art. Autonomous Agents and Multi-Agent Systems 11, 387–434 (2005)CrossRefGoogle Scholar
  11. 11.
    Pach, C., Bekrar, A., Zbib, N., Sallez, Y., Trentesaux, D.: An effective potential field approach to FMS holonic heterarchical control. Control Engineering Practice 20, 1293–1309 (2012)CrossRefGoogle Scholar
  12. 12.
    Bellifemine, F.L., Caire, G., Greenwood, D.: Developing multi-agent systems with JADE. John Wiley, Chichester (2007)CrossRefGoogle Scholar
  13. 13.
    Friedman-Hall, E.: Jess in action. Manning, Pearson Education, Greenwich, Conn. (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • José Barbosa
    • 1
    • 3
    • 4
  • Paulo Leitão
    • 1
    • 2
  • Emmanuel Adam
    • 3
    • 5
  • Damien Trentesaux
    • 3
    • 4
  1. 1.Polytechnic Institute of BragançaBragançaPortugal
  2. 2.LIACC - Artificial Intelligence and Computer Science LaboratoryPortoPortugal
  3. 3.Univ. Lille Nord de FranceLilleFrance
  4. 4.TEMPO research centerUVHCValenciennesFrance
  5. 5.LAMIHUVHCValenciennesFrance

Personalised recommendations