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Negotiations in Holonic Multi-agent Systems

  • Rahmatollah BeheshtiEmail author
  • Roghayeh Barmaki
  • Nasser Mozayani
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 638)

Abstract

Holonic multi-agent systems (HOMAS) have their own properties that make them distinct from general multi-agent systems (MAS). They are neither like competitive multi-agent systems nor cooperative, and they have features from both of these categories. There are many circumstances that holonic agents need to negotiate. Agents involved in negotiations try to maximize their utility as well as their holon’s utility. In addition, holon’s Head can overrule the negotiation whenever it wants. These differences make defining a specific negotiation mechanism for holonic multi-agent systems more significant. In this work, holonic systems are introduced at the beginning; and then different aspects of negotiation in these systems are studied. We especially try to introduce the idea of holonic negotiations. A specific negotiation mechanism for holonic multi-agent systems is proposed which is consistent with the challenges of HOMAS.

Keywords

Multi-agent systems Negotiation Holonic 

References

  1. 1.
    Arabani, A.B., Ramtin, F., Rafienejad, S.N.: Applying simulated annealing algorithm for cross-docking scheduling. In: Proceedings of the World Congress on Engineering and Computer Science, vol. 2 (2009)Google Scholar
  2. 2.
    Beheshti, R., Mozayani, N.: Predicting opponents offers in multi-agent negotiations using artmap neural network. In: Second International Conference on Future Information Technology and Management Engineering. FITME’09, pp. 600–603. IEEE (2009)Google Scholar
  3. 3.
    Beheshti, R., Mozayani, N.: A new mechanism for negotiations in multi-agent systems based on artmap artificial neural network. In: Agent and Multi-agent Systems: Technologies and Applications, pp. 311–320. Springer (2011)Google Scholar
  4. 4.
    Beheshti, R., Mozayani, N.: HOMAN, a learning based negotiation method for holonic multi-agent systems. J. Intell. Fuzzy Syst. 26(2), 655–666 (2014)Google Scholar
  5. 5.
    Botti, V., Giret, A.: ANEMONA: A Multi-agent Methodology for Holonic Manufacturing Systems. Springer (2008)Google Scholar
  6. 6.
    Bruns, G., Cortes, M.: A hierarchical approach to service negotiation. In: 2011 IEEE International Conference on Web Services (ICWS), pp. 460–467. IEEE (2011)Google Scholar
  7. 7.
    Bui, H., Kieronska, D., Venkatesh, S.: Learning other agents’ preferences in multiagent negotiation. In: Proceedings of the National Conference on Artificial Intelligence, pp. 114–119 (1996)Google Scholar
  8. 8.
    Crawford, E., Veloso, M.: Negotiation in semi-cooperative agreement problems. In: IEEE/WIC/ACM Conference on Web Intelligence and Intelligent Agent Technology, vol. 2 (2008)Google Scholar
  9. 9.
    Davami, E., Sukthankar, G.: Online learning of user-specific destination prediction models. In: 2012 International Conference on Social Informatics (SocialInformatics), pp. 40–43. IEEE (2012)Google Scholar
  10. 10.
    Fleyeh, H., Davami, E.: Multiclass adaboost based on an ensemble of binary adaboosts. Am. J. Intell. Syst. 3(2), 57–70 (2013)Google Scholar
  11. 11.
    Gerber, C., Siekmann, J., Vierke, G.: Holonic Multi-agent Systems (1999)Google Scholar
  12. 12.
    Koestler, A.: The ghost in the machine. Psychiatr. Commun. 10(2), 45 (1968)Google Scholar
  13. 13.
    Lin, F., Lin, Y.: Integrating multi-agent negotiation to resolve constraints in fulfilling supply chain orders. Electron. Commer. Res. Appl. 5(4), 313–322 (2007)CrossRefGoogle Scholar
  14. 14.
    Lin, Y.I., Tien, K.W., Chu, C.H.: Multi-agent hierarchical negotiation based on augmented price schedules decomposition for distributed design. Comput. Ind. 63(6), 597–609 (2012)CrossRefGoogle Scholar
  15. 15.
    Rafinejad, S.N., Ramtin, F., Arabani, A.B.: A new approach to generate rules in genetic algorithm solution to a job shop schedule by fuzzy clustering. In: Proceedings of the World Congress on Engineering and Computer Science, USA (2009)Google Scholar
  16. 16.
    Schillo, M., Fischer, K.: Holonic multiagent systems. KI 17(4), 54 (2003)Google Scholar
  17. 17.
    Su, Y., Huang, J.: Cooperative output regulation of linear multi-agent systems. IEEE Trans. Autom. Control 57(4), 1062–1066 (2012)MathSciNetCrossRefGoogle Scholar
  18. 18.
    Warnecke, H., Hueser, M., Claypole, M.: The Fractal Company: A Revolution in Corporate Culture. Springer (1993)Google Scholar
  19. 19.
    Wooldridge, M.: An Introduction to Multiagent Systems. Wiley (2009)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Rahmatollah Beheshti
    • 1
    Email author
  • Roghayeh Barmaki
    • 1
  • Nasser Mozayani
    • 2
  1. 1.Department of EECSUniversity of Central FloridaOrlandoUSA
  2. 2.School of Computer EngineeringIran University of Science and TechnologyTehranIran

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