An Adaptive Recommendation Trust Model in Multiagent System

Authors:
Weihua Song;Vir V. Phoha;Xin Xu
Affiliations:
Louisiana Tech University, Ruston, LA;Louisiana Tech University, Ruston, LA;Louisiana Tech University, Ruston, LA
Venue:
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Year:
2004

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Abstract

This paper presents the design of a trust model to derive recommendation trust from heterogeneous agents. The model is a novel application of neural network in evaluating multiple recommendations of various trust standards with and without deceptions. The experimental results show that 97.22% estimation errors are less than 0.05. The results also show that the model has robust performance when there is high estimation accuracy requirement or when there are deceptive recommendations.