A Computational Model for Simultaneous Employment of Multiple Emotion Regulation Strategies.

Emotion regulation plays a major role in everyday life, as it enables individuals to modulate their emotions. Several strategies, for regulating emotions, can be used individually or simultaneously, such as suppression, rumination, acceptance, problem-solving, self-criticism, and experiential avoidance. This paper presents a temporal causal network model that simulates the employment of these seven emotion regulation strategies by a person experiencing varying intensity of anxiety. Simulation results are reported for both, the high and low, emotional intensity where the level of activation of these strategies vary with the intensity of negative emotions.