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Maintenance-based trust for multi-agent systems
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International Conference on Autonomous Agents archive
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 table of contents
Budapest, Hungary
SESSION: Reputation and trust table of contents
Pages 1017-1024  
Year of Publication: 2009
ISBN:978-0-9817381-7-8
Authors
Babak Khosravifar  Concordia University, Canada
Maziar Gomrokchi  Concordia University, Canada
Jamal Bentahar  Concordia University, Canada
Philippe Thiran  University of Namur, Namur, Belgium
Sponsors
: The Foundation for Intelligent Physical Agents
Microsoft Research : Microsoft Research
: Whitestein Technologies
: European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
: Drexel University
: Wiley -- Blackwell Ltd
Publisher
Bibliometrics
Downloads (6 Weeks): 18,   Downloads (12 Months): 50,   Citation Count: 0
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ABSTRACT

In last years, trust and reputation has been gaining increasing interest in multi-agent systems (MAS). To address this issue, we propose in this paper a maintenance-based trust mechanism for agents operating in multi-agent systems. In the proposed model, a comprehensive trust assessment process is provided to assess the trustworthiness of the participating agents. The main characteristic of this model is the retrospect trust adjustments, which integrate the applicable constraints and modify the involved features with respect to the actual performance of the evaluated agent. Specifically, the retrospect process updates the belief set of the agents in order to adapt them to the social network changes. This paper has two contributions: after describing the architecture of the proposed framework, we provide a theoretical analysis of its assessment and discuss the system implementation, along with simulations comparing it with the broadly known frameworks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Babak Khosravifar: colleagues
Maziar Gomrokchi: colleagues
Jamal Bentahar: colleagues
Philippe Thiran: colleagues