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Several reputation models have been introduced to deal with the problem of biased reputation providers. Most of these models discount or discard biased information received from the reputation providers, and most of them are not appropriate when a large population of information providers are biased or dishonest. In this paper, we present a probabilistic… (More)
Many real-world applications, such as Supply Chain Management (SCM), can be modeled using multi-agent systems. One shortcoming of current SCM models is that their trust models are ad hoc and do not have a strong theoretical basis. We propose a trust model for SCM that is grounded in probabilistic game theory. In this model, trust can be gained through… (More)
My thesis contributes to the field of multi-agent systems by proposing a novel trust-based decision model for supply chain management.
One of the critical factors for a successful cooperative relationship in a supply chain partnership is trust. Many real-world applications, such as Supply Chain Management (SCM), can be modeled using multi-agent systems. One shortcoming of current SCM models is that their trust models are ad hoc and do not have a strong theoretical basis. As a result, they… (More)
We present SmartRate, a trust and reputation-based decision framework for Smart Grid, based on the available ratings provided by other customers. This model considers multiple trust factors associated with the broker and the preferences of customers for each of these factors. We define a decision framework for broker selection based on multi-attribute… (More)