Abstract
Computational models of emotion are useful in a variety of domains such as for development of believable agents, video games, virtual environments, etc. Most of the existing models are inspired by appraisal theory and focus on an agent's cognitive behavior, for which they often generate emotions according to static rules or pre-determined domain knowledge. The OCC taxonomy is one of the most used models and remains a key reference for the development of applications in particular in the domain of Embodied Conversational Characters. Numerous implementations were seen, for example the Affective Reasoner, VICTEC, etc. Another famous model of appraisal under development is. While these models function at a high-cognitive level, models like function at a low-neurophysiological level.