An Adaptive Network Model of Attachment Theory

Audrey Hermans; Selma Muhammad; Jan Treur

doi:10.1007/978-3-030-77967-2_39

An Adaptive Network Model of Attachment Theory

Audrey Hermans, Selma Muhammad, Jan Treur^*

^*Corresponding author for this work

Computer Science

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

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Abstract

The interactions between a person and his or her primary caregiver shape the attachment pattern blueprint of how this person behaves in intimate relationships later in life. This attachment pattern has a lifelong effect on an individual, but also evolves throughout a person's life. In this paper, an adaptive network was designed and simulated to provide insights into how an attachment pattern is created and how this pattern then has its effects and evolves as the person develops new intimate relationships at older age.

Original language	English
Title of host publication	Computational Science – ICCS 2021
Subtitle of host publication	21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III
Editors	Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	462-475
Number of pages	14
Volume	3
ISBN (Electronic)	9783030779672
ISBN (Print)	9783030779665
DOIs	https://doi.org/10.1007/978-3-030-77967-2_39
Publication status	Published - 2021
Event	21st International Conference on Computational Science, ICCS 2021 - Virtual, Online Duration: 16 Jun 2021 → 18 Jun 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12744 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on Computational Science, ICCS 2021
City	Virtual, Online
Period	16/06/21 → 18/06/21

Bibliographical note

Working title: How Attachment to your Primary Caregiver Influences your First Adult Relationship: An Adaptive Network Model of Attachment Theory.

Funding Information:
The Attachment Theory concerning the relationships between humans was developed from the 1940s and 1950s on mainly by developmental psychologist Mary D. Salter Ainsworth and psychologist and psychiatrist John Bowlby [5–6, 15–20] as a successor of security Theorey developed by William E. Blatz and Mary D. Salter Ainsworth [4, 15]. The Attachment Theory explains an important evolutionary function of the relationship between the child and caregiver. This has been supported by empirical research in various settings. For example, Salter Ainsworth did research on mother-child relationships for two years from 1954 on in Uganda [16] and also Bowlby has investigated the empirical basis of the theory among humans and non-human primates [6]. The theory is often applied in therapeutical contexts; e.g., [8, 10–11].

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Keywords

Adaptive temporal causal network
Attachment theory

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Hermans, A., Muhammad, S., & Treur, J. (2021). An Adaptive Network Model of Attachment Theory. In M. Paszynski, D. Kranzlmüller, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III (Vol. 3, pp. 462-475). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12744 LNCS). Springer Science and Business Media Deutschland GmbH. Advance online publication. https://doi.org/10.1007/978-3-030-77967-2_39

Hermans, Audrey ; Muhammad, Selma ; Treur, Jan. / An Adaptive Network Model of Attachment Theory. Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III. editor / Maciej Paszynski ; Dieter Kranzlmüller ; Valeria V. Krzhizhanovskaya ; Jack J. Dongarra ; Peter M.A. Sloot. Vol. 3 Springer Science and Business Media Deutschland GmbH, 2021. pp. 462-475 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "The interactions between a person and his or her primary caregiver shape the attachment pattern blueprint of how this person behaves in intimate relationships later in life. This attachment pattern has a lifelong effect on an individual, but also evolves throughout a person's life. In this paper, an adaptive network was designed and simulated to provide insights into how an attachment pattern is created and how this pattern then has its effects and evolves as the person develops new intimate relationships at older age.",

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Hermans, A, Muhammad, S & Treur, J 2021, An Adaptive Network Model of Attachment Theory. in M Paszynski, D Kranzlmüller, VV Krzhizhanovskaya, JJ Dongarra & PMA Sloot (eds), Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III. vol. 3, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12744 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 462-475, 21st International Conference on Computational Science, ICCS 2021, Virtual, Online, 16/06/21. https://doi.org/10.1007/978-3-030-77967-2_39

An Adaptive Network Model of Attachment Theory. / Hermans, Audrey; Muhammad, Selma; Treur, Jan.
Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III. ed. / Maciej Paszynski; Dieter Kranzlmüller; Valeria V. Krzhizhanovskaya; Jack J. Dongarra; Peter M.A. Sloot. Vol. 3 Springer Science and Business Media Deutschland GmbH, 2021. p. 462-475 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12744 LNCS).

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

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Hermans A, Muhammad S, Treur J. An Adaptive Network Model of Attachment Theory. In Paszynski M, Kranzlmüller D, Krzhizhanovskaya VV, Dongarra JJ, Sloot PMA, editors, Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III. Vol. 3. Springer Science and Business Media Deutschland GmbH. 2021. p. 462-475. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2021 Jun 9. doi: 10.1007/978-3-030-77967-2_39

An Adaptive Network Model of Attachment Theory

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