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

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.