主催: 一般社団法人 日本機械学会
会議名: 2024年度 年次大会
開催日: 2024/09/08 - 2024/09/11
Emotion mechanics aims to mathematically explain and predict the dynamics of human emotions. It formulates dominant emotion dimensions, termed the core affect, which consists of arousal and valence, using the brain's free energy. Free energy is an information quantity that represents prediction errors or uncertainty processed in the brain. The free energy principle suggests that free energy is minimized through the recognition process leading to Shannon surprise. We formulate arousal and valence as the surprise and decrease in free energy, which represents information gain. This formulation explains arousal potential, forming a convex function of valence over arousal, and epistemic emotions such as curiosity and interest, which drive the active inquiry process.