Abstract
In this paper we have proposed a context-aware reputation-based trust model for multi-agent environments. Due to the lack of a general method for recognition and representation of context notion, we proposed a functional ontology of context for evaluating trust (FOCET) as the building block of our model. In addition, a computational reputation-based trust model based on this ontology is developed. Our model benefits from powerful reasoning facilities and the capability of adjusting the effect of context on trust assessment. Simulation results shows that an appropriate context weight results in the enhancement of the total profit in open systems.
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Mokhtari, E., Noorian, Z., Ladani, B.T., Nematbakhsh, M.A. (2011). A Context-Aware Reputation-Based Model of Trust for Open Multi-agent Environments. In: Butz, C., Lingras, P. (eds) Advances in Artificial Intelligence. Canadian AI 2011. Lecture Notes in Computer Science(), vol 6657. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21043-3_37
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DOI: https://doi.org/10.1007/978-3-642-21043-3_37
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