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Development of a Multi-issue Negotiation System for E-Commerce

  • Bala M. Balachandran
  • R. Gobbin
  • Dharmendra Sharma
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 10)

Abstract

Agent-mediated e-commerce is rapidly emerging as a new paradigm to develop business intelligent systems. Such systems are built upon the foundations of agent technology with a strong emphasis on the automated negotiation capabilities. In this paper, we address negotiation problems where agreements must resolve several different attributes. We propose a one-to-many multi-issue negotiation model based on the Pareto optimal theory. The proposed model is capable of processing agents’ preferences and arriving to an optimal solution from a set of alternatives by ranking them according to the score that they achieved. We present our prototype system architecture, together with a discussion of the underlying negotiation framework. We then illustrate on our implementation efforts using the JADE and Eclipse platform. Our concluding remarks and possible further work are presented.

Keywords

software agents e-commerce Eclipse JADE scoring functions multi-issue negotiation Pareto-efficient 

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References

  1. 1.
    Badica, C., Badita, A., Ganzha, M.: Implementing rule-based mechanisms for agent-based price negotiation, pp. 96–100. ACM, New York (2006)Google Scholar
  2. 2.
    Cao, Y., Li, Y.: An intelligent fuzzy-based recommendation system for consumer electronic products. Expert Systems with Applications 33, 230–240 (2007)CrossRefGoogle Scholar
  3. 3.
    Bellifemine, F., Caire, G., Greenwood, D.: Developing Multi-Agent Systems with JADE. John Wiley & Sons, UK (2007)CrossRefGoogle Scholar
  4. 4.
    Kurbel, K., Loutchko, I., Teuteberg, F.: FuzzyMAN: An agent-based electronic marketplace with a multilateral negotiation protocol. In: Lindemann, G., Denzinger, J., Timm, I.J., Unland, R. (eds.) MATES 2004. LNCS (LNAI), vol. 3187, pp. 126–140. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  5. 5.
    Lin, C., Chen, S., Chu, Y.: Automatic price negotiation on the web: An agent-based web application using fuzzy expert system. Expert Systems with Applications, 142 (2010), doi:10, 1016/j.eswa.2010.09Google Scholar
  6. 6.
    Merlat, W.: An Agent-Based Multiservice Negotiation for ECommerce. BT Technical Journal 17(4), 168–175Google Scholar
  7. 7.
    Ndumu, D.T., Collis, J.C., Nwana, H.S.: Towards desktop personal travel agents. BT Technol. J. 16(3), 69–78 (200x); Nwana, H.S, et al.: Agent-Mediated Electronic Commerce: Issues, Challenges and Some Viewpoints. In: Autonomous Agents 1998, MN, USA (1998)Google Scholar
  8. 8.
    Nwana, H.S., et al.: Agent-Mediated Electronic Commerce: Issues, Challenges and Some Viewpoints. In: Autonomous Agents 1998, MN, USA (1998)Google Scholar
  9. 9.
    Paprzycki, M., et al.: Implementing Agents Capable of Dynamic Negotiations. In: Petcu, D., et al. (eds.) Proceedings of SYNASC 2004: Symbolic and Numeric Algorithms for Scientific Computing, pp. 369–380. Mirton Press, Timisoara (2004)Google Scholar
  10. 10.
    Ragone, A., Straccia, U., Di Noia, T., Di Sciascio, E., Donini, F.M.: Towards a fuzzy logic for automated multi-issue negotiation. In: Hartmann, S., Kern-Isberner, G. (eds.) FoIKS 2008. LNCS, vol. 4932, pp. 381–396. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  11. 11.
    Takayuki, I., Hattori, H., Klein, M.: Multi-Issue Negotiation Protocol for Agents: Exploring Nonlinear Utility Spaces. In: IJCAI 2007, pp. 1347–1352 (2007)Google Scholar
  12. 12.
    The Eclipse Platform, http://www.eclipse.org/
  13. 13.
    Tsai, H.-C., Hsiao, S.-W.: Evaluation of alternatives for product customization using fuzzy logic. Information Sciences 158, 233–262 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Bala M. Balachandran
    • 1
  • R. Gobbin
    • 1
  • Dharmendra Sharma
    • 1
  1. 1.Faculty of Information Sciences and EngineeringThe University of CanberraAustralia

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