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 proceedingConference contributionAcademicpeer-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 languageEnglish
Title of host publicationComputational Science – ICCS 2021
Subtitle of host publication21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II
EditorsMaciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot
PublisherSpringer Nature Switzerland AG
Pages154-166
Number of pages13
Volume2
ISBN (Electronic)9783030779641
ISBN (Print)9783030779634
DOIs
Publication statusPublished - 2021
Event21st International Conference on Computational Science, ICCS 2021 - Virtual, Online
Duration: 16 Jun 202118 Jun 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12743 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Computational Science, ICCS 2021
CityVirtual, Online
Period16/06/2118/06/21

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