Emotion Intelligence Computation Based on Matrix Description of State Machine

Nowadays the functional role of emotions has been recently fully recognized as essential for intelligent systems. In this paper an emotion and behavior model are presented based on the similarity between primary emotion and state machine. A two-layer emotional state generator based on the brain science is introduced firstly. The matrix description of state machine is applied to construct the bottom level of emotion generator. This method could improve the reactive performance of intelligent system. A neural cell model named Lapicque is used to describe the transition of emotion state. Experimental results is presented in the end demonstrate the response advantage of our model.