An Emotional Agent Model Based on Granular Computing

Abstract EN

Affective computing has a very important significance for fulfilling intelligent information processing and harmonious communication between human being and computers.

A new model for emotional agent is proposed in this paper to make agent have the ability of handling emotions, based on the granular computing theory and the traditional BDI agent model.

Firstly, a new emotion knowledge base based on granular computing for emotion expression is presented in the model.

Secondly, a new emotional reasoning algorithm based on granular computing is proposed.

Thirdly, a new emotional agent model based on granular computing is presented.

Finally, based on the model, an emotional agent for patient assistant in hospital is realized, experiment results show that it is efficient to handle simple emotions.