A Computational Model for Adaptive Emotion Regulation

Emotion regulation describes how a subject can use certain strategies to affect emotion response levels. Usually, models for emotion regulation assume mechanisms based on feedback loops that indicate how to change certain aspects of behaviour or cognitive functioning in order to get a more satisfact...

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Bibliographic Details
Main Authors: Bosse, Tibor, Pontier, Matthijs, Treur, Jan
Format: Conference Proceeding
Language:English
Subjects:
Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Cognitive robotics
Computing methodologies > Artificial intelligence > Philosophical/theoretical foundations of artificial intelligence > Cognitive science
Computing methodologies > Modeling and simulation > Model development and analysis
Computing methodologies > Modeling and simulation > Model development and analysis > Model verification and validation
Computing methodologies > Modeling and simulation > Simulation evaluation
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Summary:Emotion regulation describes how a subject can use certain strategies to affect emotion response levels. Usually, models for emotion regulation assume mechanisms based on feedback loops that indicate how to change certain aspects of behaviour or cognitive functioning in order to get a more satisfactory emotion response level. Adaptation of such feedback loops is usually left out of consideration. In this paper, a model for adaptivity of emotion regulation is introduced. This model includes mechanisms for adaptivity of the degree of flexibility of the emotion regulation process. Based on this computational model, a number of simulation experiments have been performed and evaluated.
DOI:10.1109/IAT.2007.5