Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions

S. Sahand Mohammadi Ziabari*, Jan Treur

*Corresponding author for this work

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

Abstract

In this paper a computational analysis is presented of differences between men and women in coping with extreme emotions. This analysis is based on an adap-tive temporal-causal network model. It takes into account the suppression of con-nections between preparation states and sensory representations of action effects due to an extreme stressful emotion. It is shown how this model can be used to represent the difference between males and females facing an extreme emotion, thereby performing their own methods in coping with the extreme emotion, for males fight or flight and for females tend-and-befriend.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18, vol. 2
PublisherElsevier
Pages376-385
Number of pages10
Volume145
DOIs
Publication statusPublished - 1 Sep 2018
Event9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18 - Prague, Czech Republic
Duration: 22 Aug 201824 Aug 2018
Conference number: 9

Publication series

NameProcedia Computer Science
PublisherElsevier BV
ISSN (Print)1877-0509

Conference

Conference9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18
Abbreviated titleBICA
CountryCzech Republic
CityPrague
Period22/08/1824/08/18

Keywords

  • Adaptive Network
  • Extreme Emotion
  • Gender
  • Rumination

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