An Adaptive Network Model for Procrastination Behaviour Including Self-Regulation and Emotion Regulation

H. Moulie, R. van den Berg, J. Treur

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Abstract

Procrastination is an ever-growing problem in our current society. It was shown that 80-95% of college students are subject to it. The importance of this natural human behaviour is what led to this study. In this paper, the goal was to model both the self-control and the emotion regulation dynamics involved in the process of procrastination. This is done by means of a temporal-causal network, incorporating learning and control of the learning. We set out to unveil the dynamics of the system. Additionally, the effect of stress regulation-therapy on the process of procrastination was investigated. The model’s base level implementation was verified by making sure the aggregated impact matches the node values for certain stationary points and the model’s Hebbian learning behaviour was also mathematically shown to be correctly implemented. The results proved this model’s ability to model different types of individuals, all with different stress sensitivities. Therapy was also shown to be greatly beneficial. This temporal-causal network, however, can be improved, such as including self-compassion into the model as a link between procrastination and stress.
Original languageEnglish
Title of host publicationComputational Science – ICCS 2021
Subtitle of host publication21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part I
EditorsMaciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot
PublisherSpringer Nature Switzerland AG
Pages540-554
Number of pages15
Volume1
ISBN (Electronic)9783030779610
ISBN (Print)9783030779603
DOIs
Publication statusPublished - 2021
Event21st International Conference on Computational Science, ICCS 2021 - Virtual, Online
Duration: 16 Jun 202118 Jun 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12742 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Computational Science, ICCS 2021
CityVirtual, Online
Period16/06/2118/06/21

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