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An Adaptive Network Model for Burnout and Dreaming
As burnouts grow increasingly common, the necessity for a model describing burnout dynamics becomes increasingly apparent. The model discussed in this paper builds on previous research by adding dreams, a component that has been shown to have an adaptive regulating effect on emotions. The proposed m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302253/ http://dx.doi.org/10.1007/978-3-030-50371-0_25 |
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author | Maijer, Mathijs Solak, Esra Treur, Jan |
author_facet | Maijer, Mathijs Solak, Esra Treur, Jan |
author_sort | Maijer, Mathijs |
collection | PubMed |
description | As burnouts grow increasingly common, the necessity for a model describing burnout dynamics becomes increasingly apparent. The model discussed in this paper builds on previous research by adding dreams, a component that has been shown to have an adaptive regulating effect on emotions. The proposed model is a first-order adaptive temporal-causal network model, incorporating emotions, exercise, sleep, and dreams. The model was validated against given patterns found in empirical literature and it may be used to gain a better understanding of burnout dynamics. |
format | Online Article Text |
id | pubmed-7302253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73022532020-06-18 An Adaptive Network Model for Burnout and Dreaming Maijer, Mathijs Solak, Esra Treur, Jan Computational Science – ICCS 2020 Article As burnouts grow increasingly common, the necessity for a model describing burnout dynamics becomes increasingly apparent. The model discussed in this paper builds on previous research by adding dreams, a component that has been shown to have an adaptive regulating effect on emotions. The proposed model is a first-order adaptive temporal-causal network model, incorporating emotions, exercise, sleep, and dreams. The model was validated against given patterns found in empirical literature and it may be used to gain a better understanding of burnout dynamics. 2020-05-26 /pmc/articles/PMC7302253/ http://dx.doi.org/10.1007/978-3-030-50371-0_25 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Maijer, Mathijs Solak, Esra Treur, Jan An Adaptive Network Model for Burnout and Dreaming |
title | An Adaptive Network Model for Burnout and Dreaming |
title_full | An Adaptive Network Model for Burnout and Dreaming |
title_fullStr | An Adaptive Network Model for Burnout and Dreaming |
title_full_unstemmed | An Adaptive Network Model for Burnout and Dreaming |
title_short | An Adaptive Network Model for Burnout and Dreaming |
title_sort | adaptive network model for burnout and dreaming |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302253/ http://dx.doi.org/10.1007/978-3-030-50371-0_25 |
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