An Adaptive Temporal-Causal Network Model for Stress Extinction Using Fluoxetine

2019 ◽  
pp. 107-119 ◽  
Author(s):  
S. Sahand Mohammadi Ziabari
Keyword(s):  
Network Model ◽  
Causal Network

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

2020 ◽  
Vol 07 (04) ◽  
pp. 433-452 ◽  
Author(s):  
S. Sahand Mohammadi Ziabari ◽  
Jan Treur
Keyword(s):  
Decision Making ◽  
Network Model ◽  
Real World ◽  
Acute Stress ◽  
Second Phase ◽  
Causal Network ◽  
Severe Stress ◽  
Modeling Methodology ◽  
Network Connections ◽  
New Learning

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.

scholarly journals Modeling enabling learning of social interaction based on an adaptive temporal-causal network model

2019 ◽  
Vol 338 ◽  
pp. 349-360
Author(s):  
Charlotte Commu ◽  
Mathilde Theelen ◽  
Jan Treur
Keyword(s):  
Social Interaction ◽  
Network Model ◽  
Causal Network

scholarly journals Semi-Automated Curation Allows Causal Network Model Building for the Quantification of Age-Dependent Plaque Progression in ApoE–/–Mouse

2016 ◽  
Vol 10 ◽  
pp. GRSB.S40031 ◽  
Author(s):  
Justyna Szostak ◽  
Florian Martin ◽  
Marja Talikka ◽  
Manuel C. Peitsch ◽  
Julia Hoeng
Keyword(s):  
Network Model ◽  
Model Building ◽  
Causal Network ◽  
Plaque Progression ◽  
Age Dependent ◽  
Apoe Mouse

Philosophical Counseling and the Network Theory of Well-Being, Revamped

2018 ◽  
Vol 4 (4) ◽  
pp. 16-27
Author(s):  
Martha Lang ◽  
Keyword(s):  
Network Model ◽  
Network Theory ◽  
Good Life ◽  
Well Being ◽  
Causal Network ◽  
The Good Life ◽  
Essential Component ◽  
Objective Information ◽  
Causal Networks ◽  
Emergent Theory

The central goal of this article is to make the case that the revamped version of Michael Bishop’s Network Theory of Well-being, described in his 2015 book The Good Life: Unifying the Philosophy and Psychology of Well-Being, provides a worthwhile framework for philosophical counseling endeavors, including Logic-Based Therapy. In 2017, The Network Theory of Well-Being, Revamped emerged as a response to Bishop’s theory of well-being; the revamped version was also my dissertation, which I successfully defended and published that year. By appealing to a set of counter-examples, I argue that Bishop’s theory is missing an essential component; his positive causal network model of well-being allows for sever­al problematic cases which, upon investigation, demonstrate positive causal networks but cannot reasonably be considered examples of well-being. In revamping Network Theory, I argue that three additional criteria are required for well-being: authenticity, a bit of moral­ity, and some objective information. Altogether, these three criteria comprise what I call holistic authenticity. As such, the emergent theory of well-being declares that well-being is a matter of instantiating a holistically authentic positive causal network. This theory of well-being is the most reasonable notion of well-being for philosophical counseling because it is based on Network Theory’s inclusive method, which requires that the philosophy of well-being join forces with the science of well-being.

Sign in / Sign up

Export Citation Format

Share Document