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: Chapter in Book / Report / Conference proceeding › Conference contribution › 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
Title of host publication	Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures
Subtitle of host publication	ICA 2018 (Ninth Annual Meeting of the BICA Society), held August 22-24, 2018 in Prague, Czech Republic
Publisher	Elsevier
Pages	376-385
Number of pages	10
Volume	145
DOIs	https://doi.org/10.1016/j.procs.2018.11.088
Publication status	Published - 1 Sept 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

Publication series

Name	Procedia Computer Science
Publisher	Elsevier BV
ISSN (Print)	1877-0509

Conference

Conference	9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18
Abbreviated title	BICA
Country/Territory	Czech Republic
City	Prague
Period	22/08/18 → 24/08/18

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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Mohammadi Ziabari, S. S., & Treur, J. (2018). Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions. In Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures: ICA 2018 (Ninth Annual Meeting of the BICA Society), held August 22-24, 2018 in Prague, Czech Republic (Vol. 145, pp. 376-385). (Procedia Computer Science). Elsevier. https://doi.org/10.1016/j.procs.2018.11.088

Mohammadi Ziabari, S. Sahand ; Treur, Jan. / Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions. Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures: ICA 2018 (Ninth Annual Meeting of the BICA Society), held August 22-24, 2018 in Prague, Czech Republic. Vol. 145 Elsevier, 2018. pp. 376-385 (Procedia Computer Science).

@inproceedings{ced2f78108de41099c97cae677f992fb,

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",

year = "2018",

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

language = "English",

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publisher = "Elsevier",

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booktitle = "Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures",

note = "9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18, BICA ; Conference date: 22-08-2018 Through 24-08-2018",

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Mohammadi Ziabari, SS & Treur, J 2018, Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions. in Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures: ICA 2018 (Ninth Annual Meeting of the BICA Society), held August 22-24, 2018 in Prague, Czech Republic. vol. 145, Procedia Computer Science, Elsevier, pp. 376-385, 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18, Prague, Czech Republic, 22/08/18. https://doi.org/10.1016/j.procs.2018.11.088

Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions. / Mohammadi Ziabari, S. Sahand; Treur, Jan.

Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures: ICA 2018 (Ninth Annual Meeting of the BICA Society), held August 22-24, 2018 in Prague, Czech Republic. Vol. 145 Elsevier, 2018. p. 376-385 (Procedia Computer Science).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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KW - Gender

KW - Rumination

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Mohammadi Ziabari SS, Treur J. Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions. In Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures: ICA 2018 (Ninth Annual Meeting of the BICA Society), held August 22-24, 2018 in Prague, Czech Republic. Vol. 145. Elsevier. 2018. p. 376-385. (Procedia Computer Science). doi: 10.1016/j.procs.2018.11.088

Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions

Abstract

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Conference

Keywords

UN SDGs

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