A Computational Model for Simultaneous Employment of Multiple Emotion Regulation Strategies

Bas Chatel, Atke Visser, Nimat Ullah*

*Corresponding author for this work

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


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.

Original languageEnglish
Title of host publicationBrain Informatics
Subtitle of host publication13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings
EditorsMufti Mahmud, Stefano Vassanelli, M. Shamim Kaiser, Ning Zhong
PublisherSpringer Nature Switzerland AG
Number of pages10
ISBN (Electronic)9783030592776
ISBN (Print)9783030592769
Publication statusPublished - 2020
Event13th International Conference on Brain Informatics, BI 2020 - Padua, Italy
Duration: 19 Sep 202019 Sep 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12241 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference13th International Conference on Brain Informatics, BI 2020


  • Acceptance
  • Cognitive reappraisal
  • Emotion regulation
  • Experiential avoidance
  • Expressive suppression
  • Problem-solving
  • Rumination
  • Self-criticism
  • Temporal causal network modeling


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