Better Late than Never: A Multilayer Network Model Using Metaplasticity for Emotion Regulation Strategies

Abstract

and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

A second-order adaptive temporal-causal network model for age and gender differences in evolving choice of emotion regulation strategies

“…Similarly, (Ullah, Treur, & Koole, 2018) presents a model for contextual emotion regulation. Most close to the model presented here is the model presented in (Ullah & Treur, 2020) which also is adaptive and demonstrates the role of age in choice of emotion regulation strategies but does not consider the role of gender in choice of emotion regulation strategies. The complexity and novelty of the current model lies in the multiorder adaptive approach along with considering both the age and gender.…”

Regaining Cognitive Control: An Adaptive Computational Model Involving Neural Correlates of Stress, Control and Intervention

“…The first-order adaptation levels of the model explicitly represent weights ω X,Y of some of the connections in the base model by first-order self-model states W X,Y (also called reification states). For instance, X 13 and X 14 are first-order self-model states representing the adaptive connection weights ω adrenalcortex,hippocampus and ω adrenalcortex,PFC, i.e., the connections represented by the two outgoing light-blue colored arrows fromX 6 , in the base model, respectively. The persistence μ and speed factors η of these connections' adaptation states X 13 and X 14 are represented by second-order self-model states X 15 (M cortisol−feedback ), X 16 (H cortisol−feedback ) and X 17 (M cortisol ), X 18 (H cortisol ), respectively.…”

“…Moreover, to combine these concepts into a single model, this study considers an adaptive network modeling approach [12] because of its efficacy and suitability for the adaptive and cyclic processes, as demonstrated in [13,14]. In rest of the paper, Sect.…”

Know Yourself: An Adaptive Causal Network Model for Therapeutic Intervention for Regaining Cognitive Control

“…Moreover, this study considers an adaptive causal network modeling approach (Treur 2020) to model the above mentioned phenomena because stressful emotions and their effects form an adaptive and cyclic process which this approach particularly handles quite effectively as demonstrated, for example, in (Ullah and Treur 2020;Ullah and Treur 2019). This modeling approach can be considered as a branch in the causal modeling area which has a long tradition in AI; e.g., see (Kuipers 1984;Kuipers and Kassirer 1983;Pearl 2009).…”