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A Model of Emotional Agent Based on Granular Computing

Research results of neurobiology show that emotions play an important and active role in human-like intelligence. To make agent have the ability of handling emotions, a new model structure of emotional agent is presented, based on the granular computing theory and the traditional BDI agent model. The model firstly establishes a new emotion knowledge base based on granular computing for emotion expression, secondly puts forward the emotional decision rules achieving method of the emotional Knowledge base, and finally implements the emotion treatment. An emotional agent based on this model has been realized, experiment results show that it is efficient to transact simple emotions.