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 language | English |
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Pages (from-to) | 433-452 |
Number of pages | 20 |
Journal | Vietnam Journal of Computer Science |
Volume | 7 |
Issue number | 4 |
Early online date | 22 Jun 2020 |
DOIs | |
Publication status | Published - Nov 2020 |
Bibliographical note
Publisher Copyright:© 2020 The Author(s).
Keywords
- Adaptive temporal-causal network model
- Hebbian learning
- Stress