An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society

In this paper a multi-order adaptive temporal-causal network model is introduced to model political evolution. The computational network model makes use of Hofstadter’s notion of a Strange Loop and was tested and validated successfully to reflect political oscillations seen in presidential elections...

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Autores principales: Anten, Julia, Earle, Jordan, Treur, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302818/
http://dx.doi.org/10.1007/978-3-030-50417-5_45
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author Anten, Julia
Earle, Jordan
Treur, Jan
author_facet Anten, Julia
Earle, Jordan
Treur, Jan
author_sort Anten, Julia
collection PubMed
description In this paper a multi-order adaptive temporal-causal network model is introduced to model political evolution. The computational network model makes use of Hofstadter’s notion of a Strange Loop and was tested and validated successfully to reflect political oscillations seen in presidential elections in the USA over time.
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spelling pubmed-73028182020-06-19 An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society Anten, Julia Earle, Jordan Treur, Jan Computational Science – ICCS 2020 Article In this paper a multi-order adaptive temporal-causal network model is introduced to model political evolution. The computational network model makes use of Hofstadter’s notion of a Strange Loop and was tested and validated successfully to reflect political oscillations seen in presidential elections in the USA over time. 2020-06-15 /pmc/articles/PMC7302818/ http://dx.doi.org/10.1007/978-3-030-50417-5_45 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
Anten, Julia
Earle, Jordan
Treur, Jan
An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society
title An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society
title_full An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society
title_fullStr An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society
title_full_unstemmed An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society
title_short An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society
title_sort adaptive computational network model for strange loops in political evolution in society
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302818/
http://dx.doi.org/10.1007/978-3-030-50417-5_45
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