BDI AGENTS WITH FUZZY ASSOCIATIVE MEMORY FOR VESSEL BERTHING IN CONTAINER PORTS

Prasanna Lokuge, Damminda Alahakoon, Parakrama Dissanayake

2004

Abstract

Faster turnaround time of the vessels in berths has direct impact on the improvement of terminals productivity. The need for an intelligent system that dynamically adapts to the changing environment is apparent, as there is limited number of berths and resources available in container terminals for delivering services to vessels. BDI (Beliefs, Desires and Intentions) agents are being proposed in a complex collaborative environment in the vessel scheduling assuring better management and control in the terminal. BDI agents to deal with many criteria and different goals with uncertain beliefs, it is proposed that fuzzy associative memory to use in the planning process of the BDI architecture facilitating better decision making in the whole process. In this paper we propose hybrid BDI architecture with fuzzy associative memory in handling uncertainty issues of the vessel berthing in container terminals. Execution of Plans in a collaborative multi agent environment would be strengthened with the introduction of fuzzy associative memory in BDI agents.

References

  1. Rao A.S and M. Georgeff., 1995. BDI agents: from theory to practice. In proceedings of the first international conference on Multi agents systems (ICMAS-95).
  2. Rao A.S and M.P. Georgeff., 1995. BDI agents: From Theory to Practice. Technical note 56..
  3. Paolo Busetta P and Ramamohanarao K., 1997. Technical Report 97/16, The University of Melbourne, Department of Computer Science, Melbourne, Australia.
  4. Paolo Busetta P and Ramamohanarao K., 1997. Technical Report 97/16, The University of Melbourne, Department of Computer Science, Melbourne, Australia.
  5. Busetta P and Kotagiri R. An Architecture for Mobile BDI Agents. Technical Report 97/16, The University of Melbourne, Department of Computer Science, Melbourne,Australia. http://citeseer.nj.nec.com/article/busetta97architectur e.html
  6. Ljungberg M and Lucas A., 1992. The OASIS Air traffic management system. proceeding of the second pacific rim international conference on artificial intelligent, PRICAI,Seoul Korea.
  7. Georgeff M, Pell B,Pollack M,Tambe M and. Wooldridge, M., 1998. The Belief-Desire-Intention Model of Agency,SpringerPublishers, http://citeseer.nj.nec.com/georgeff99beliefdesireintenti on.html
  8. Winikoff M , Padgham, and Harland J., 2001. Simplifying the development of intelligent agents. In Proceedings of the 14th Australian Joint Conference on Artificial Intelligence (AI'01)
  9. Jorg P. Muller., 1996. The Design of Intelligent Agents, A Layered Approach, Springer-Verlag Berlin Heidelberg, New York.
  10. Nicholas R. Jennings., 1999. Intelligent Agents VI, ,Agent Theories Architecture, and Languages, 6th International workshop proceedings.Florida.
  11. George B and Bojadziev M., 1995. Fuzzy sets, fuzzy logic, applications, World Scientific publishing Co Pte Ltd, Singapore.
  12. Baldwin J.F., 1996. Fuzzy Logic, John Wiley & sons Ltd, England.
  13. Philip D. Wasserman., 1989. Neural Computing, theory and Practice, Van Nostrand Reinhold, New York.
  14. Eberhart R.C and Dobbins R.W., 1990. Neural Network PC Tools, Academic Press Inc, ,New York.
  15. Lin T.C and Lee C.S.G., 1996. Neural Fuzzy Systems, Prentice Hall P T R, Upper Saddle River, New Jersey.
  16. Brazier F., Dunin-Keplicz B., Verbrugge R., 1997. Modelling Internal Dynamic Behaviour of BDI Agents. Proceedings of the Third International Workshop on Formal Models of Agents, MODELAGE http://citeseer.nj.nec.com/brazier97modelling.html
  17. Ardissono L, Boella G, and Lesmo L.,1997. A planbased formalism to express knowledge about actions. In Proc. 4th ModelAge Workshop: Formal Models of Agents, pages 255--268, Pontignano, Italy.
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Paper Citation


in Harvard Style

Lokuge P., Alahakoon D. and Dissanayake P. (2004). BDI AGENTS WITH FUZZY ASSOCIATIVE MEMORY FOR VESSEL BERTHING IN CONTAINER PORTS . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 315-320. DOI: 10.5220/0002617403150320


in Bibtex Style

@conference{iceis04,
author={Prasanna Lokuge and Damminda Alahakoon and Parakrama Dissanayake},
title={BDI AGENTS WITH FUZZY ASSOCIATIVE MEMORY FOR VESSEL BERTHING IN CONTAINER PORTS},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2004},
pages={315-320},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002617403150320},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - BDI AGENTS WITH FUZZY ASSOCIATIVE MEMORY FOR VESSEL BERTHING IN CONTAINER PORTS
SN - 972-8865-00-7
AU - Lokuge P.
AU - Alahakoon D.
AU - Dissanayake P.
PY - 2004
SP - 315
EP - 320
DO - 10.5220/0002617403150320