Abstract—Emotional intelligence plays an important role in the communication between people and computers or robots. Based on psychodynamics, in this paper, the concept of emotional energy is proposed and the emotional energy is quantified as a unified parameter to measure the emotional state. On this basis, the energy distribution description space of the emotional states is established, which is the foundation for further describing the changing state of emotional state. The process of emotional change is regarded as a stochastic process in this paper, and Markov chain is used to describe the spontaneous transfer process of emotional state. The results show that the model can simulate the process of emotional state changes to some extent. 

Index Terms—artifical emotion, psychological energy, emotion model

Cite: Wang Guojiang and Teng Shaodong, "A Computational Model Based on Emotion Energy," International Journal of Signal Processing Systems, Vol. 7, No. 2, pp. 54-59, June 2019. doi: 10.18178/ijsps.7.2.54-59