Model based emotional status simulation

The paper presents the structure, functioning principles and program implementation of a proposed Emotional Autonomous Agent Model. The model connects simulated touch-sensor inputs to an output graphic interface with emotion-expressing capabilities (both through facial expressions and emotion-labeling words). The model includes perception, motivational and emotional subsystems. For the emotional sub-system, the main parts are a Fuzzy Classifier of Primary Emotions and a Secondary and Mixed Emotional Statuses Interpolator. Simulation results obtained using the proposed model are presented.