Developing a composite trust model for multi-agent systems

Authors:
Xiaoqing Zheng;Zhaohui Wu;Huajun Chen;Yuxin Mao
Affiliations:
Zhejiang University, Hangzhou, China;Zhejiang University, Hangzhou, China;Zhejiang University, Hangzhou, China;Zhejiang University, Hangzhou, China
Venue:
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Year:
2006

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Using asymmetric keys in a certified trust model for multiagent systems

Expert Systems with Applications: An International Journal

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Abstract

The Semantic Web, conceived as a collection of agents, brings new opportunities and challenges to trust research. Enabling trust to ensure more effective and efficient interaction is at the heart of the Semantic Web vision. We propose a composite trust model based on statistical decision theory and Bayesian sequential analysis to balance the costs and benefits during the process of trust evaluating and combine a variety of sources of information to assist users with making the correct decisions in selecting the appropriate service providers according to their preferences. The model proposed by this paper gives trust a strict mathematical interpretation in terms of probability theory.