Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions

S. Sahand Mohammadi Ziabari; Jan Treur

doi:10.1016/j.procs.2018.11.088

Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions

S. Sahand Mohammadi Ziabari^*, Jan Treur

^*Corresponding author for this work

Research output: Contribution to Journal › Article › Academic › peer-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 language	English
Pages (from-to)	376-385
Number of pages	10
Journal	Procedia Computer Science
Volume	145
Early online date	11 Dec 2018
DOIs	https://doi.org/10.1016/j.procs.2018.11.088
Publication status	Published - 2018
Event	9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18 - Prague, Czech Republic Duration: 22 Aug 2018 → 24 Aug 2018 Conference number: 9

Bibliographical note

Volume title: Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2018 (Ninth Annual Meeting of the BICA Society), held August 22-24, 2018 in Prague, Czech Republic

Keywords

Adaptive Network
Extreme Emotion
Gender
Rumination

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.procs.2018.11.088

https://www.researchgate.net/publication/325218039_Computational_Analysis_of_Gender_Differences_in_Coping_with_Extreme_Stressful_Emotions

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title = "Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions",

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. ",

keywords = "Adaptive Network, Extreme Emotion, Gender, Rumination",

author = "{Mohammadi Ziabari}, {S. Sahand} and Jan Treur",

note = "Volume title: Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2018 (Ninth Annual Meeting of the BICA Society), held August 22-24, 2018 in Prague, Czech Republic; 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18, BICA ; Conference date: 22-08-2018 Through 24-08-2018",

year = "2018",

doi = "10.1016/j.procs.2018.11.088",

language = "English",

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AU - Treur, Jan

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N2 - 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.

AB - 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.

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KW - Extreme Emotion

KW - Gender

KW - Rumination

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M3 - Article

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SN - 1877-0509

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JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18

Y2 - 22 August 2018 through 24 August 2018

ER -

Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions

Abstract

Bibliographical note

Keywords

UN SDGs

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