Personal Mental State Transition Network using Self Organizing Map

Abstract

Mental State Transition Network which consists of mental states connected one another is a basic concept of approximating to human psychological and mental responses. It can represent transition from an emotional state to other one with stimulus by calculating Emotion Generating Calculations method. However, this method ignores most of emotions except for an emotion which has the strongest effect in spite that EGC can calculate intensities of 20 emotions in parallel. Furthermore, grouping of the emotions may be different among agents. In this paper, we propose a method to classify emotions calculated by EGC using Self Organizing Map. Mental state transits based on the group of emotions on the map. For example, a set of emotions in a group transits the mental state ``happy,'' and negative mental state is enfeebled.