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

Seyed Sahand Mohammadi Ziabari, Jan Treur

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 modeling is an approach to address the phenomena with a complexity that cannot be or are 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 new learning of the decision making in accordance with the 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

Fingerprint

Dive into the research topics of 'Decision Making Under Acute Stress Modeled by an Adaptive Temporal-Causal Network Model'. Together they form a unique fingerprint.

Cite this