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

Autor: S. Sahand Mohammadi Ziabari, Jan Treur

Publikováno v: Vietnam Journal of Computer Science, Vol 7, Iss 4, Pp 433-452 (2020)

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 t

Externí odkaz: https://doaj.org/article/d837fcce29544859bf95319abd45e3d8

A reified network model for adaptive decision making based on the disconnect-reconnect adaptation principle

Autor: Treur, Jan

Publikováno v: Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models, 123-142
STARTPAGE=123;ENDPAGE=142;TITLE=Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models
Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models ISBN: 9783030314446
Treur, J 2020, A reified network model for adaptive decision making based on the disconnect-reconnect adaptation principle . in J Treur (ed.), Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models . Studies in Systems, Decision and Control, vol. 251, Springer International Publishing AG, pp. 123-142 . https://doi.org/10.1007/978-3-030-31445-3_5

In recent literature from Neuroscience, the adaptive role of the effects of stress on decision making is highlighted. In this chapter, it is addressed how that role can be modelled computationally using a reified adaptive temporal-causal network arch

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f5e64d447e16e6e4dadbe2a06db673c
https://research.vu.nl/en/publications/5bf76fb9-7241-40db-992e-f87cb9b5f2c1

An adaptive temporal-causal network model for decision making under acute stress

Autor: Treur, Jan, Mohammadi Ziabari, S. Sahand, Nguyen, Ngoc Thanh, Trawinski, Bogdan, Pimenidis, Elias, Khan, Zaheer

Publikováno v: Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Proceedings, 2, 13-25
Treur, J & Mohammadi Ziabari, S S 2018, An adaptive temporal-causal network model for decision making under acute stress . in N T Nguyen, B Trawinski, E Pimenidis & Z Khan (eds), Computational Collective Intelligence : 10th International Conference, ICCCI 2018, Proceedings . vol. 2, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11056 LNAI, Springer/Verlag, pp. 13-25, 10th International Conference on Computational Collective Intelligence, ICCCI 2018, Bristol, United Kingdom, 5/09/18 . https://doi.org/10.1007/978-3-319-98446-9_2
Computational Collective Intelligence ISBN: 9783319984452
ICCCI (2)

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::355fa301b3b086d9bab125f7406959d8
https://research.vu.nl/en/publications/459bb022-e436-47fb-85ee-48593218af37

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