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Capability-Aware Trust Evaluation Model in Multi-agent Systems

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PRICAI 2016: Trends in Artificial Intelligence (PRICAI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9810))

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Abstract

Modeling trust in a real time of dynamic multi-agent systems is important but challenging, particularly when agents frequently join and leave, and the structure of the society may often change. With the increasing complexity of services, some simplified assumptions, e.g., unlimited processing capability, adopted by several trust models have shown their limitations which restrict the application of trust model in real-world situations. This paper attempts to relax the unlimited processing capability assumption of agents by introducing a capability-aware trust evaluation with temporal factor using hidden Markov model. The experimental results show that the approach not only can improve the accuracy of trust computation but also benefit the trust-aware decision making for both individual and agent group context.

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Correspondence to Tung Doan Nguyen .

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Nguyen, T.D., Bai, Q., Li, W. (2016). Capability-Aware Trust Evaluation Model in Multi-agent Systems. In: Booth, R., Zhang, ML. (eds) PRICAI 2016: Trends in Artificial Intelligence. PRICAI 2016. Lecture Notes in Computer Science(), vol 9810. Springer, Cham. https://doi.org/10.1007/978-3-319-42911-3_65

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  • DOI: https://doi.org/10.1007/978-3-319-42911-3_65

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42910-6

  • Online ISBN: 978-3-319-42911-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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