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

被引:0
|
作者
Wang, Yong [1 ]
Li, Ming [2 ]
Dillon, Eamonn [4 ]
Cui, Ling-guo [3 ]
Hu, Jing-jing [1 ,5 ]
Liao, Le-jian [6 ]
机构
[1] Beijing Inst Technol, Sch Comp Software, Beijing 100081, Peoples R China
[2] MPS, Beijing 100037, Peoples R China
[3] Beijing Inst Technol, Sch Informat Sci & Technol, Beijing 100081, Peoples R China
[4] Univ Dublin Trinity Coll, Dept Comp Sci, Dublin 2, Ireland
[5] Beijing Inst Technol, Sch Comp Software, Beijing 100081, Peoples R China
[6] Beijing Inst Technol, Sch Comp Sci, Beijing 100081, Peoples R China
关键词
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中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Context 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.
引用
收藏
页码:1119 / +
页数:2
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