DocumentCode
3488301
Title
Composite trust in networked multi-agent systems
Author
Baras, John S. ; Tao Jiang
Author_Institution
Inst. for Syst. Res., Univ. of Maryland, College Park, MD, USA
fYear
2012
fDate
27-29 June 2012
Firstpage
3547
Lastpage
3552
Abstract
Trust plays a crucial role in the analysis, synthesis and operation of the integrated system consisting of social-cognitive, information and communication networks. Multi-agent systems and associated coalition operations, which involve two or more organizations, further augment the diversity and complexity of network interactions. Trust and its derivative notions affect dramatically the networked coalition operations. A substantial part of the research challenge has to do with the multitude of meanings, interpretations, symbolisms and mathematical models used to represent and analyze trust. In this paper, we introduce value directed graphs with weighted nodes as our model for composite trust. We extend the value directed graph with weighted nodes composite trust model to include not only numerical weights, but also constraints. We show that the semiring-based constraint satisfaction problem (SCSPs) framework can serve as the unified model to investigate trust relation establishment.
Keywords
constraint satisfaction problems; directed graphs; information networks; multi-agent systems; social aspects of automation; SCSP; associated coalition operations; communication networks; information networks; integrated system; interpretations; mathematical models; networked coalition operations; networked multiagent systems; semiring-based constraint satisfaction problem; social-cognitive; symbolisms; trust relation establishment; value directed graphs; weighted nodes composite trust model; Communication networks; Finite element methods; Mathematical model; Measurement; Multiagent systems; Numerical models; Organizations;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2012
Conference_Location
Montreal, QC
ISSN
0743-1619
Print_ISBN
978-1-4577-1095-7
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2012.6315691
Filename
6315691
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