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|When people interact, their behaviour tends to become synchronized, a mutual coordination process that fosters short-term adaptations, like increased affiliation, and long-term adaptations, like increased bonding. This paper addresses for the first time how such short-term and long-term adaptivity induced by synchronization can be modeled computationally by a second-order multi-adaptive neural agent model. It addresses movement, affect and verbal modalities and both intrapersonal synchrony and interpersonal synchrony. The behaviour of the introduced neural agent model was evaluated in a simulation paradigm with different stimuli and communication enabling conditions. The outcomes illustrate how synchrony leads to stronger short-term affiliation wich in turn leads to more synchrony and stronger long-term bonding, and conversely.|
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