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

Laila van Ments; Jan Treur

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

Laila van Ments, Jan Treur

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

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	Proc. of the 21th International Conference on Computational Science, ICCS'21
Publisher	Springer Nature Switzerland AG
Publication status	Accepted/In press - 18 Mar 2021

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Nature

Access to Document

https://www.researchgate.net/publication/350159052

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

Proc. of the 21th International Conference on Computational Science, ICCS'21. Springer Nature Switzerland AG, 2021. (Lecture Notes in Computer Science).

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

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