Electronic business and agents are among the most important and exciting areas of research and development in information and communication technology, with considerable potential impact and opportunities for the Maritime sector. This paper proposes the design of a Multi-Agent system for Internet Virtual Chartering Markets (MAVCM). The MAVCM system applies for business-to-business transactions in Maritime markets, and provides mechanisms for Internet-based chartering informational and transactional services. The lifecycle of the proposed system offers a solution for efficiently handling the processes involving a charterer who owns the cargo and employs a shipbroker to find a shipowner to deliver the cargo for a certain freight rate. The objective is to enable Maritime market participants to electronically charter, trade and transport cargos based on information and transactions over Internet via their software agents.


Unify Modeling Language Multiagent System Electronic Market Freight Rate Agent Role 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

5 References

  1. 1.
    Zwass, V. (1996). Electronic commerce: Structures and issues. International Journal of Electronic Commerce vol. 1(1), 3–23.Google Scholar
  2. 2.
    He, M. and Leung, H. (2002). Agents in e-commerce: State of the art. Knowledge and Information Systems vol. 4, 257–282.CrossRefGoogle Scholar
  3. 3.
    Maamar, Z. (2002). Association of users with software agents in e-commerce. Electronic Commerce Research and Applications vol. 1, 104–112.CrossRefGoogle Scholar
  4. 4.
    Zambonelli, F., Jennings, N., and Woolddridge, M., “Developing Multiagent Systems. The Gaia Methodology”. ACM Transactions on Software Engineering and Methodology, Vol 12, No 3, (pp. 417–470), July 2003.CrossRefGoogle Scholar
  5. 5.
    Caire, C., Garrijo, F., Gomez, J., Pavon, J., Leal, F., et al., “Agent oriented analysis using MESSAGE/UML”. Proceedings of Agent-Oriented Software Engineering —AOSE 01, Canada, May, 2001.Google Scholar
  6. 6.
    Guinchiglia, F., Mylopoulos, J., and Perini A., “The Tropos Software Development Methodology: Processes, Models and Diagrams”, Proceedings of Agent-Oriented Software Engineering (AOSE-2002), Bologna, Italy, July 2002.Google Scholar
  7. 7.
    Juan, T., Pearce, A. and Sterling, L., “ROADMAP: Extending the Gaia Methodology for Complex Open Systems”. Proceedings of Autonomous Agents and Multi-Agent Systems — AAMAS’ 02 (pp. 3–10), Bologna, Italy, July 15–19, 2002.Google Scholar
  8. 8.
    Baltic Exchange, available from http://www.balticexchange.comGoogle Scholar
  9. 9.
    AUML Home Page, available from http://www.auml.orgGoogle Scholar
  10. 10.
    JADE Home Page, 2004, available from http://jade.tilab.comGoogle Scholar
  11. 11.
    Marcela Rodriguez, Jesus Favela, “A Framework for Supporting Autonomous Agents in Ubiquitous Computing Environments”, Book Autonomous Agents for Ubiquitous Collaborative Environments, Springer Berlin / Heidelberg, Volume 2313/2002, 2002Google Scholar
  12. 12.
    J. Odell, V. D. Parunak, and B. Bauer. “Extending UML for Agents”. In: Wagner, G., Lesperance, Y. and Yu, E. Proceedings of the Second Workshop on agent-Oriented Information systems (AOIS’00), iCue Publishing, pp. 3–17, 2000.Google Scholar
  13. 13.
    J. Odell, V. D. Parunak, and B. Bauer. “Representing Agent Interaction Protocols in UML”, In Proceedings of the First International Workshop on Agent-Oriented Software Engineering (AOSE’01), Springer Verlag, 121–140.Google Scholar
  14. 14.
    FIPA (Foundation for Intelligent Physical Agents), Scholar
  15. 15.
    Chengqi Zhang, Chunsheng Li, ‘An Agent-Based Framework for Petroleum Information Services from Distributed Heterogeneous Data Resources’, (APSEC’02), IEEE, 2002.Google Scholar
  16. 16.
    M. Huget, “Agent UML Notation for Multiagent System Design”, IEEE Internet Computing, 2004. Scholar
  17. 17.
    Michael Berger, Steffen Rusitschka, Dimitri Toropov, Michael Watzke, Marc Schlichte, “Porting Agents to Small Mobile Devices-The Development of the Lightweight Extensible Agent Platform”, 2003.Google Scholar
  18. 18.
    F. Bellifemine, A. Poggi, G. Rimassa, “Developing multi agent systems with a FIPA-compliant agent framework”. In Software Practice & Experience”, John Wiley & Sons, Ltd. vol no. 31, pp. 103–128, Feb. 2001.MATHCrossRefGoogle Scholar
  19. 19.
    Youyong Zou, Tim Finin, Li Ding, Harry Chen, Rong Pan, “Using Semantic Web technology in Multi-Agent Systems: a case study in the TAGA trading agent environment”, In Proceedings of the 5th international Conference on Electronic Commerce (Pittsburgh, Pennsylvania, September 30–October 03, 2003). ICEC’ 03, vol. 50. ACM Press, New York, NY, 95–101.Google Scholar
  20. 20.
    J.M. Vidal, P. Buhler, and C. Stahl, “Multiagent systems with workflows”, IEEE Internet Computing, 8(1):76–82, January / February 2004.CrossRefGoogle Scholar
  21. 21.
    Jing Han, Ming Li, Lei Guo, “Soft Control on Collective Behavior of a Group of Autonomous Agents By a Shill Agent”, Journal of Systems Science and Complexity, Springer Boston, Vol 19, Number 1 / March, 2006, Pages54–62.CrossRefMathSciNetGoogle Scholar

Copyright information

© International Federation for Information Processing 2007

Authors and Affiliations

  • Manolis Sardis
    • 1
  • Ilias Maglogiannis
    • 1
  1. 1.Department of Information & Communication Systems EngineeringUniversity of the AegeanSamosGreece

Personalised recommendations