A Computational Cognitive Model Integrating Different Emotion Regulation Strategies

A.H. Abro, A. Manzoor Rajper, S. Tabatabaei, J. Treur

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper a cognitive model is introduced which integrates a model for emotion generation with models for three different emotion regulation strategies. Given a stressful situation, humans often apply multiple emotion regulation strategies. The presented computational model has been designed based on principles from recent neurological theories based on brain imaging, and psychological and emotion regulation theories. More specifically, the model involves emotion generation and integrates models for the emotion regulation strategies reappraisal, expressive suppression, and situation modification. The model was designed as a dynamical system. Simulation experiments are reported showing the role of the emotion regulation strategies. The simulation results show how a potential stressful situation in principle could lead to emotional strain and how this can be avoided by applying the emotion regulation strategies decreasing the stressful effects.
LanguageEnglish
Title of host publicationProc. of the 6th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2015
EditorsOlivier L. Georgeon
PublisherElsevier
Pages157-168
DOIs
Publication statusPublished - 2015

Publication series

NameProcedia Computer Science
PublisherElsevier
Volume71

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Brain
Dynamical systems
Imaging techniques
Experiments

Cite this

Abro, A. H., Manzoor Rajper, A., Tabatabaei, S., & Treur, J. (2015). A Computational Cognitive Model Integrating Different Emotion Regulation Strategies. In O. L. Georgeon (Ed.), Proc. of the 6th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2015 (pp. 157-168). (Procedia Computer Science; Vol. 71). Elsevier. https://doi.org/10.1016/j.procs.2015.12.187
Abro, A.H. ; Manzoor Rajper, A. ; Tabatabaei, S. ; Treur, J. / A Computational Cognitive Model Integrating Different Emotion Regulation Strategies. Proc. of the 6th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2015. editor / Olivier L. Georgeon. Elsevier, 2015. pp. 157-168 (Procedia Computer Science).
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Abro, AH, Manzoor Rajper, A, Tabatabaei, S & Treur, J 2015, A Computational Cognitive Model Integrating Different Emotion Regulation Strategies. in OL Georgeon (ed.), Proc. of the 6th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2015. Procedia Computer Science, vol. 71, Elsevier, pp. 157-168. https://doi.org/10.1016/j.procs.2015.12.187

A Computational Cognitive Model Integrating Different Emotion Regulation Strategies. / Abro, A.H.; Manzoor Rajper, A.; Tabatabaei, S.; Treur, J.

Proc. of the 6th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2015. ed. / Olivier L. Georgeon. Elsevier, 2015. p. 157-168 (Procedia Computer Science; Vol. 71).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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AB - In this paper a cognitive model is introduced which integrates a model for emotion generation with models for three different emotion regulation strategies. Given a stressful situation, humans often apply multiple emotion regulation strategies. The presented computational model has been designed based on principles from recent neurological theories based on brain imaging, and psychological and emotion regulation theories. More specifically, the model involves emotion generation and integrates models for the emotion regulation strategies reappraisal, expressive suppression, and situation modification. The model was designed as a dynamical system. Simulation experiments are reported showing the role of the emotion regulation strategies. The simulation results show how a potential stressful situation in principle could lead to emotional strain and how this can be avoided by applying the emotion regulation strategies decreasing the stressful effects.

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Abro AH, Manzoor Rajper A, Tabatabaei S, Treur J. A Computational Cognitive Model Integrating Different Emotion Regulation Strategies. In Georgeon OL, editor, Proc. of the 6th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2015. Elsevier. 2015. p. 157-168. (Procedia Computer Science). https://doi.org/10.1016/j.procs.2015.12.187