Abstract
We proposed some methods to calculate computer agent's emotion from contents of utterances and to output facial expression of the agent according to the calculated emotion. However, if we construct such methods ad hoc, our mental model will be quite different from process of real human's mind. In this paper, we improve our mental model based on discussion in philosophy of mind. In philosophical field, there are two approaches to explain the relationship between mind and matter, monism which deals mind and matter with the same one and dualism where mental phenomena are non-physical. In this research, we use "interactionist dualism.'' Our mental model is separated into physical network, emotion network, and mood network. Furthermore, some nodes in mental state and physical state are connected according to causal relationship and it outputs facial expression and changes action of the agent. The relationship are realized in our proposed Mental State Transition Network with learning and our mental model can represent the emotion with a stimulus from physical event to mind.
