MULTINOMIAL AGENT 'S TRUST MODELING USING ENTROPY OF THE DIRICHLET DISTRIBUTION

Nowadays one of the most important challenges for integrated systems such as social networks is the evaluation of trust for agents which are interacting with each other in the environment. It plays an important role that the trust has been evaluated from the agent’s experiences. In this paper, we propose a new mathematical approach based on the entropy of Dirichlet distribution, to model the agent’s trust to another agent, based on the past observation from him. The use of Dirichlet distribution for trust model, allows us to evaluate the trust in multinomial cases. Also our approach considers the uncertainty and conflict of agent’s behavior for underlying trust model.

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