Calculating the Reliability and Reputation of Agents in E-Commerce Multi-Agent Environments

Abstract:

E-commerce multi-agent systems have some features of autonomy and commercial transaction that improve rapidly and become a powerful tool for buying and selling products online. While multi-agent systems can break interactions in distributed and heterogeneous environments, malicious behaviors of the agents are a potential hazard in distributed e-commerce applications. Hence, calculating the reliability and reputation of agents play a critical role in determining how interactions occur and who to interact with. The way of calculating the reliability and reputation of each agent should be based on different elements, and there are no standard elements to compute reliability and reputation of each agent in multi-agent environment. This paper analyses some recent proposed methods in calculating reputation and reliability of each agent. The ultimate aim of this study is to define the standard elements which should be considered to calculate the reliability and reputation of agents in e-commerce multi-agent environment.

• Periodical: Applied Mechanics and Materials (Volumes 548-549)
• Pages: 1478-1482
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.548-549.1478
• Online since: April 2014
• Authors: Elham Majd*, Vimala Balakrishnan, Sousan Gharib, Katayoon Pourmahdi, Leili Shakeri, Masoumeh Feyz Abadi
• Keywords: Multi-Agent System (MAS), Reliability, Reputation

References

[1] Y. Liu, W. Tang, and R. Zhao, Reliability and mean time to failure of unrepairable systems with fuzzy random lifetimes, Fuzzy Systems, IEEE Transactions on, vol. 15 (2007), pp.1009-1026.

DOI: 10.1109/tfuzz.2006.890677

[2] L. Li, H. Li, G. Lu, and S. W. Yao, A Quantifiable Trust Model for Multi-agent System Based on Equal Relations, in Computational Intelligence and Security, 2007 International Conference on, China, (2007), pp.291-295.

DOI: 10.1109/cis.2007.213

[3] S. Garruzzo and D. Rosaci, The roles of reliability and reputation in competitive multi agent systems, in On the Move to Meaningful Internet Systems: OTM 2010, ed Berlin: Springer Berlin Heidelberg, (2010), pp.326-339.

DOI: 10.1007/978-3-642-16934-2_23

[4] S. Garruzzo and D. Rosaci, The roles of reliability and reputation in competitive multi agent systems, in On the Move to Meaningful Internet Systems: OTM 2010, ed: Springer, (2010), pp.326-339.

DOI: 10.1007/978-3-642-16934-2_23

[5] S. Nusrat and J. Vassileva, Recommending Services in a Trust-Based Decentralized User Modeling System, Advances in User Modeling, vol. 7138 (2012), pp.230-242.

DOI: 10.1007/978-3-642-28509-7_22

[6] A. Medić, Survey of Computer Trust and Reputation Models–The Literature Overview, International Journal of Information and Communication Technology Research, vol. 2 (2012).

[7] D. Rosaci, G. M. Sarnè, and S. Garruzzo, TRR: An integrated Reliability-Reputation Model for Agent Societies, in WOA, (2011), pp.28-33.

[8] F. Lorenzi, G. Baldo, R. Costa, M. Abel, A. Bazzan, and F. Ricci, A Trust Model for Multiagent Recommendations, Journal of Emerging Technologies in Web Intelligence, vol. 2, pp.310-318, (2010).

DOI: 10.4304/jetwi.2.4.310-318

[9] Y. M. Li and C. P. Kao, TREPPS: A trust-based recommender system for peer production services, Expert systems with applications, vol. 36, pp.3263-3277, (2009).

DOI: 10.1016/j.eswa.2008.01.078

[10] G. Zacharia, A. Moukas, and P. Maes, Collaborative reputation mechanisms for electronic marketplaces, Decision support systems, vol. 29 (2000), pp.371-388.

DOI: 10.1016/s0167-9236(00)00084-1

[11] J. Carbo, J. M. Molina, and J. Davila, Comparing Predictions of Sporas vs. a Fuzzy Reputation System, in 3rd International Conference on Fuzzy Sets and Fuzzy Systems, (2002), pp.147-153.