A Machine Learning Approach to the Stabilization of Emotional Dynamics in Emotion-Logic Encounter

The paper provides a new direction to controlling psychological balance in emotion-logic encounter. A dynamics of co-existing multiple emotions is considered, and the condition for stability of the dynamics is determined by Lyapunov approach. Stabilization of the emotional dynamics is ascertained through Hebbian learning by autonomous adaptation of parameters of the dynamics. A novel scheme for stabilization of emotion-logic encounter is proposed by over-powering logic over emotion or vice-versa, based on the personality of the subject.