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Computational Trust and Reputation models are the framework for measuring trust and reputation in online services, software and general service provision in the field of computing. This paper presents the adaptation, design and application of a Trust and Reputation model called ReGret. The advantage of the ReGreT system over other models is that it takes advantage, among other things, of social relations between agents to overcome the problem that arises from non-availability of information from only previous past direct interactions of the agent. The modular nature of this model is exploited and the model is applied in the practical scenario of assessing an agent.
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