Classification of EGC output and Mental State Transition Network using Self Organizing Map

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 although EGC can calculate the degree of 20 emotions in parallel. In this paper, we investigate the discrepancy between the group of emotions by EGC and the clustering results of the relation of sentences and their emotions by 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.