A fuzzy trust model for multi-agent system

Authors:
Guangzhu Chen;Zhishu Li;Zhihong Cheng;Zijiang Zhao;Haifeng Yan
Affiliations:
School of Computer, Sichuan University, Chengdu, P.R. China;School of Computer, Sichuan University, Chengdu, P.R. China;College of Mechanical & Electrical Engineering, China University of Mining and Technology, Xuzhou, P.R. China;College of Mechanical & Electrical Engineering, China University of Mining and Technology, Xuzhou, P.R. China;College of Mechanical & Electrical Engineering, China University of Mining and Technology, Xuzhou, P.R. China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Year:
2005

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Abstract

In the dynamic and uncertain network environment, the trust is an important mechanism for security and reliability of multi-agent system. This paper proposes a trust model for multi-agent system using fuzzy sets (TMMASFS). The distinguishing feature of TMMASFS is that there is the self-recommendation trust besides the direct trust and the recommendation trust. The self-recommendation trust is useful very much when the manager agent has neither the direct experience nor the recommendation experience about the contractor agents. Then the trust dynamic modification theorem is introduced, which can not only valuate the trust but also monitor the executed process of the task. At last, the trust valuation algorithm is presented, and the result of the experiment shows TMMASFS is efficient and adapted to the dynamic and uncertain network environment.