INFORMATION EQUATION OF EMOTIONAL STATE

Abstract This paper proposes a mathematical model of human emotional states within the framework of information theory. Building on P. V. Simonov’s model and the works of V. F. and L. M. Prisnyakov on emotions such as love and fear, the study introduces a generalized information equation of emotional state. The model combines two components - subjective internal experiences and physiological manifestations - and incorporates key parameters: internal emotional tension, information density of stimuli, need satisfaction coefficient, and neural process mobility. The resulting equation reflects the interaction between cognitive and physiological aspects of emotions and corresponds to catastrophe theory, distinguishing stable and unstable emotional states. Validation with experimental data, particularly Izard’s studies on infants, demonstrates good agreement with theoretical predictions. The proposed model provides a quantitative basis for analyzing emotions and suggests new directions for predicting and regulating emotional processes in psychology.