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In this paper we present a theoretical model for evaluating agent’s belief. We model the agent’s belief as a threshold function of agent’s certainty. The main problem is that agent’s certainty is unobservable. This model is based on results from different tests. A propagation algorithm is presented. We also discuss an example for determining a statistical agent’s belief in a probability model. 1