A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD

L. van Ments; J. Treur

doi:10.1007/978-3-030-77964-1_13

A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD

L. van Ments, J. Treur

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

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Abstract

In this paper, a second-order adaptive model is introduced for simulation of the formation of a mental model of a traumatic course of events and its emotional responses, and learning processes of how a stimulus can become a trigger to activate this mental model. Furthermore, the influence of therapy on the ability of an individual to learn to control the emotional responses to the traumatic mental model was modeled. To unblock and activate this learning ability, a form of second-order adaptation was applied.

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 II
Editors	Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot
Publisher	Springer Nature Switzerland AG
Pages	154-166
Number of pages	13
Volume	2
ISBN (Electronic)	9783030779641
ISBN (Print)	9783030779634
DOIs	https://doi.org/10.1007/978-3-030-77964-1_13
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	12743 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

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10.1007/978-3-030-77964-1_13

Ments-Treur2021_Chapter_AHigher-OrderAdaptiveNetworkModelToSimultaeDevelopmentOfFinal published version, 3.63 MBLicence: Article 25fa Dutch Copyright Act

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van Ments, L., & Treur, J. (2021). A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD. 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 II (Vol. 2, pp. 154-166). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12743 LNCS). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-77964-1_13

van Ments, L. ; Treur, J. / A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD. Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II. editor / Maciej Paszynski ; Dieter Kranzlmüller ; Valeria V. Krzhizhanovskaya ; Jack J. Dongarra ; Peter M.A. Sloot. Vol. 2 Springer Nature Switzerland AG, 2021. pp. 154-166 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD",

abstract = "In this paper, a second-order adaptive model is introduced for simulation of the formation of a mental model of a traumatic course of events and its emotional responses, and learning processes of how a stimulus can become a trigger to activate this mental model. Furthermore, the influence of therapy on the ability of an individual to learn to control the emotional responses to the traumatic mental model was modeled. To unblock and activate this learning ability, a form of second-order adaptation was applied.",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Maciej Paszynski and Dieter Kranzlm{\"u}ller and Krzhizhanovskaya, {Valeria V.} and Dongarra, {Jack J.} and Sloot, {Peter M.A.}",

booktitle = "Computational Science – ICCS 2021",

note = "21st International Conference on Computational Science, ICCS 2021 ; Conference date: 16-06-2021 Through 18-06-2021",

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van Ments, L & Treur, J 2021, A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD. 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 II. vol. 2, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12743 LNCS, Springer Nature Switzerland AG, pp. 154-166, 21st International Conference on Computational Science, ICCS 2021, Virtual, Online, 16/06/21. https://doi.org/10.1007/978-3-030-77964-1_13

A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD. / van Ments, L.; Treur, J.

Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II. ed. / Maciej Paszynski; Dieter Kranzlmüller; Valeria V. Krzhizhanovskaya; Jack J. Dongarra; Peter M.A. Sloot. Vol. 2 Springer Nature Switzerland AG, 2021. p. 154-166 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12743 LNCS).

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

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AB - In this paper, a second-order adaptive model is introduced for simulation of the formation of a mental model of a traumatic course of events and its emotional responses, and learning processes of how a stimulus can become a trigger to activate this mental model. Furthermore, the influence of therapy on the ability of an individual to learn to control the emotional responses to the traumatic mental model was modeled. To unblock and activate this learning ability, a form of second-order adaptation was applied.

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van Ments L, Treur J. A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD. 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 II. Vol. 2. Springer Nature Switzerland AG. 2021. p. 154-166. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2021 Jun 9. doi: 10.1007/978-3-030-77964-1_13

A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD

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