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2018 | OriginalPaper | Chapter

An Adaptive Temporal-Causal Network Model for Decision Making Under Acute Stress

Authors : Jan Treur, S. Sahand Mohammadi Ziabari

Published in: Computational Collective Intelligence

Publisher: Springer International Publishing

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Abstract

In recent literature from Neuroscience the adaptive role of the effects of stress on decision making is highlighted. The problem addressed in this paper is how that can be modelled computationally. The presented adaptive temporal-causal network model addresses the suppression of the existing network connections in a first phase as a result of the acute stress, and then as a second phase relaxing the suppression after some time and give room to start new learning of the decision making in the context of the stress again.

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Title: An Adaptive Temporal-Causal Network Model for Decision Making Under Acute Stress
Authors: Jan Treur
S. Sahand Mohammadi Ziabari
Publisher: Springer International Publishing
Book: Computational Collective Intelligence
Print ISBN: 978-3-319-98445-2

Electronic ISBN: 978-3-319-98446-9

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-98446-9_2

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