A context-aware computational trust model for multi-agent systems

Yong Wang*, Ming Li, Eamonn Dillon, Ling Guo Cui, Jing Jing Hu, Le Jian Liao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

Contest information is taken into account when evaluating agents' trust to reflect the dynamic feature of multi-agent systems in open uncertain environment more accurately. A context-aware computational trust model based on Bayesian networks is proposed. Unlike many existing intuitive solutions, both the reputation estimation and unfair recommender filtering use statistical approaches. Risk is explicitly combined with trust to help agents making proper decisions. Simulation results show that our prototype system can make accurate trust inferences and is robust against unfair recommenders.

Original languageEnglish
Title of host publicationProceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
Pages1119-1124
Number of pages6
DOIs
Publication statusPublished - 2008
Event2008 IEEE International Conference on Networking, Sensing and Control, ICNSC - Sanya, China
Duration: 6 Apr 20088 Apr 2008

Publication series

NameProceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC

Conference

Conference2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
Country/TerritoryChina
CitySanya
Period6/04/088/04/08

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