Decision Making under Acute Stress Modeled by an Adaptive Temporal-Causal Network Model

S. Sahand Mohammadi Ziabari*, Jan Treur

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The influence of acute severe stress or extreme emotion based on a Network-Oriented modeling methodology has been addressed here. Adaptive temporal causal network model is an approach to address the phenomena with complexity which cannot be or hard to be explained in a real-world experiment. In the first phase, the suppression of the existing network connections as a consequence of the acute stress modeled and in the second phase relaxing the suppression by giving some time and starting a new learning of the decision making in accordance to presence of stress starts again.

Original languageEnglish
Pages (from-to)433-452
Number of pages20
JournalVietnam Journal of Computer Science
Volume7
Issue number4
Early online date22 Jun 2020
DOIs
Publication statusPublished - Nov 2020

Bibliographical note

Publisher Copyright:
© 2020 The Author(s).

Keywords

  • Adaptive temporal-causal network model
  • Hebbian learning
  • Stress

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