期刊论文详细信息
| Vietnam Journal of Computer Science | |
| Decision Making Under Acute Stress Modeled by an Adaptive Temporal–Causal Network Model | |
| Jan Treur1  S. Sahand Mohammadi Ziabari1  | |
| [1] Social AI Group, Vrije Universiteit, De Boelelaan 1105, Amsterdam, 1081 HV, The Netherlands; | |
| 关键词: adaptive temporal-causal network model; hebbian learning; stress; | |
| DOI : 10.1142/S2196888820500244 | |
| 来源: DOAJ | |
【 摘 要 】
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.
【 授权许可】
Unknown