Modeling Enabling Learning of Social Interaction Based on an Adaptive Temporal-Causal Network Model

In this study, an adaptive temporal-causal network model is presented for learn-ing of basic skills for social interaction. It focuses on greeting a known person and how that relates to learning how to recognize a person from seeing his or her face. The model involves a Hebbian learning process. The model also addresses avoidance behavior related to enhanced sensory processing sensitivity. In scenar-ios persons without and with enhanced sensory processing sensitivity are com-pared. Mathematical analysis was performed to verify correctness of the model.