Fundamental Analysis of Affective Computing Mathematical Model

Abstract

Artificial emotion computing is vital for virtual human construction. A novel artificial psychology model based on Markov theory applied to virtual human techniques is presented. The authentic human psychology activities are treated as a Markov process. The probability distribution of affective states is set up by means of the transfer matrix algorithm. Affective entropy is developed to express the specific extent of human emotion. The simulation results demonstrate that the artificial psychology model can produce different kinds of emotion and fit for human affective rules with indetermination and statistic. This model provides a valid method to the emotional robot mathematical model and affective decision system.