Artificial Emotion Model Based on Random Process

Artificial Emotion model is considered as a key component of to achieve a more effective human-computer interaction and its basic and fundamental are the essentially understanding and expression of natural emotion. The paper presents an emotion computing model Based on Random Process. The model simulates the dynamic process of emotional self-regulation and the dynamic process of emotional transference under the influence of external stimuli. The simulation results show that the change process of emotions simulated by the emotion computing model is consistent with the change rule of human emotion, and it provides a new mechanism for emotional decision-making of emotion robots.