REPUTATION BASED INTELLIGENT AGENT NEGOTIATION FRAMEWORKS IN THE E-MARKETPLACE

Malamati Louta, Ioanna Roussaki, Lambros Pechlivanos

2006

Abstract

E-commerce is expected to achieve high market penetration if coupled with the appropriate technologies. Mobile Agent Technology (MAT) may enhance the intelligence and improve the efficiency of systems in the e-marketplace. Such a highly competitive and extremely dynamic market should encompass mechanisms for enabling users (Buyers) to find the most appropriate service providers (Sellers), i.e., those offering adequate quality services at a certain time period in a cost efficient manner. In this study, the Buyers’ decision on the “best” Seller is based on a weighted combination of the evaluation of the quality of the Sellers’ offer (performance related factor) and of their reputation rating (reliability related factor). Efficient negotiation frameworks are enhanced with a Sellers’ collaborative reputation mechanism, which helps estimating their trustworthiness and predicting their future behaviour, taking into account the Sellers’ past performance in satisfying the Buyers’ expectations. In essence, Sellers are rated with respect to whether they honoured or not the agreements they have established with the Buyers, thus introducing the concept of trust among the negotiators. The reputation mechanism considers both first-hand information (acquired from the Buyer’s past experiences with the Sellers) and second-hand information (disseminated from other Buyers’ based on their own past experiences with the Sellers), while spurious reputation ratings are taken into account.

References

  1. Atif Y., 2002. Building trust in e-commerce, IEEE Internet Computing Magazine, 6(1), pp. 18-24.
  2. Buchegger S. and Le Boudec J.-Y., 2005. Self-policing mobile ad-hoc networks by reputation systems, IEEE Communications Magazine, vol. 43 no. 7, pp. 101- 107.
  3. Conitzer V., Sandholm T., 2003. Computational criticisms of the revelation principle, In Proc. AAMAS03, Workshop on Agent Mediated Electronic Commerce V, Melbourne, Australia.
  4. Faratin P., Sierra C., Jennings N. R., 1998. Negotiation Decision Functions for Autonomous Agents, Int. Journal of Robotics and Autonomous Systems, vol. 24, no. 3-4, pp. 159-182.
  5. He M., Jennings N. R., Leung H., 2003. On agentmediated electronic commerce. IEEE Transactions on Knowledge and Data Engineering, vol. 15, no. 4, pp. 985-1003.
  6. Louta M., Roussaki I. and Pechlivanos L., 2004. An effective Negotiation Strategy for simple buyer response in E-commerce environment, In Proc. of IEEE International Conference 'Intelligent Systems' (IS'04), pp. 535-540, Varna, Bulgaria.
  7. Louta M., Roussaki I. and Pechlivanos L., 2004. An Efficient Negotiation Strategy in E-Commerce Context based on Simple Ranking Mechanism, In Proc. of International Conference on E-Business and Telecommunication Networks (ICETE 2004), pp. 18- 25, Setubal, Portugal.
  8. Raiffa H., 1982. The Art and Science of Negotiation, Harvard University Press, Cambridge, USA.
  9. Rosenschein J. S., Zlotkin G., 1994. Rules of Encounter: Designing Conventions for Automated Negotiation among Computers, Massachusetts: The MIT Press, Cambridge, MA, USA.
  10. Roussaki I., Louta M., 2003, Efficient Negotiation Framework and Strategies for the Next Generation Electronic Marketplace, MBA Thesis, National Technical University of Athens.
  11. Roussaki I., Louta M. and Pechlivanos L., 2004. An Efficient Negotiation Model for the Next Generation Electronic Marketplace, In Proc. of the 12th IEEE Mediterranean Electrotechnical Conference (MELECON 2004), pp. 615-618, Dubrovnic, Croatia.
  12. Roussaki I., Louta M. and Pechlivanos L., 2004. Negotiation of Intelligent Agents: Dynamic Model and Contract Ranking Strategy for Electronic Commerce environments, In Proc. of 4th International Conference on Intelligent Systems Design and Applications (ISDA 2004), pp. 777-782, Budapest, Hungary.
  13. Rubinstein A., 1982. Perfect equilibrium in a bargaining model, Econometrica, vol. 50, pp. 97-109.
  14. Zacharia G. and Maes P., 2000. Trust management through reputation mechanism, Applied Artificial Intelligence Journal, vol. 14 no. 9, pp. 881-908.
Download


Paper Citation


in Harvard Style

Louta M., Roussaki I. and Pechlivanos L. (2006). REPUTATION BASED INTELLIGENT AGENT NEGOTIATION FRAMEWORKS IN THE E-MARKETPLACE . In Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2006) ISBN 978-972-8865-62-7, pages 5-12. DOI: 10.5220/0001426600050012


in Bibtex Style

@conference{ice-b06,
author={Malamati Louta and Ioanna Roussaki and Lambros Pechlivanos},
title={REPUTATION BASED INTELLIGENT AGENT NEGOTIATION FRAMEWORKS IN THE E-MARKETPLACE},
booktitle={Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2006)},
year={2006},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001426600050012},
isbn={978-972-8865-62-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2006)
TI - REPUTATION BASED INTELLIGENT AGENT NEGOTIATION FRAMEWORKS IN THE E-MARKETPLACE
SN - 978-972-8865-62-7
AU - Louta M.
AU - Roussaki I.
AU - Pechlivanos L.
PY - 2006
SP - 5
EP - 12
DO - 10.5220/0001426600050012