Mathematical Modeling of Human Emotions using Neural Network - A Qualitative Approach

Abstract

In this article, a model is proposed to study the impact of concepts stored in the memory from earlier experiences on the output of emotions. The model with constant and time-varying inputs has been considered. To show that the systems are well behaved, sufficient conditions for global asymptotic stability are derived for the system with constant inputs, and sufficient conditions for asymptotic nearness and boundedness are derived for the system with time-varying inputs. Numerical examples with simulations are illustrated to support the theory.