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	Proceedings of the 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18, vol. 2
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 Sep 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	Czech Republic
City	Prague
Period	22/08/18 → 24/08/18

Keywords

Adaptive Network
Extreme Emotion
Gender
Rumination

Access to Document

10.1016/j.procs.2018.11.088

Cite this

@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",

volume = "145",

series = "Procedia Computer Science",

publisher = "Elsevier",

pages = "376--385",

booktitle = "Proceedings of the 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18, vol. 2",

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

}

Mohammadi Ziabari, SS & Treur, J 2018, Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions. in Proceedings of the 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18, vol. 2. 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.

Proceedings of the 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18, vol. 2. 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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