This paper presents the structure and operation principles of an emotional model. It is a dynamic state-space model where state variables represent the emotional state. Model matrices are time variant. A method based on fuzzy inference systems is developed to calculate the matrix coefficients at each time step. The simulation results of the guide robot case study are presented.
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