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

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Computational Science – ICCS 2021 (ICCS 2021)

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Abstract

In this paper, a second-order adaptive network model is introduced for a number of phenomena that occur in the context of PTSD. First of all the model covers simulation of the formation of a mental model of a traumatic course of events and its emotional responses that make replay of flashback movies happen. Secondly, it addresses learning processes of how a stimulus can become a trigger to activate this acquired 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. Finally, a form of second-order adaptation was covered to unblock and activate this learning ability.

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Author information

Authors and Affiliations

  1. AutoLeadStar, Jerusalem, Israel

    Laila van Ments

  2. Social AI Group, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Jan Treur

Authors
  1. Laila van Ments
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  2. Jan Treur
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Corresponding author

Correspondence to Jan Treur .

Editor information

Editors and Affiliations

  1. AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  2. Ludwig-Maximilians-Universität München, Munich, Germany

    Dieter Kranzlmüller

  3. University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya

  4. University of Tennessee at Knoxville, Knoxville, TN, USA

    Jack J. Dongarra

  5. University of Amsterdam, Amsterdam, The Netherlands

    Peter M. A. Sloot

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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: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12743. Springer, Cham. https://doi.org/10.1007/978-3-030-77964-1_13

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  • DOI: https://doi.org/10.1007/978-3-030-77964-1_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77963-4

  • Online ISBN: 978-3-030-77964-1

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