An adaptive computational network model for strange loops in political evolution in society

Julia Anten; Jordan Earle; Jan Treur

doi:10.1007/978-3-030-50417-5_45

An adaptive computational network model for strange loops in political evolution in society

Julia Anten, Jordan Earle, Jan Treur^*

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

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.

Original language	English
Title of host publication	Computational Science – ICCS 2020
Subtitle of host publication	20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II
Editors	Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael H. Lees, Peter M.A. Sloot, Peter M.A. Sloot, Peter M.A. Sloot, Jack J. Dongarra, Sérgio Brissos, João Teixeira
Publisher	Springer
Pages	604-617
Number of pages	14
Volume	2
ISBN (Electronic)	9783030504175
ISBN (Print)	9783030504168
DOIs	https://doi.org/10.1007/978-3-030-50417-5_45
Publication status	Published - 2020
Event	20th International Conference on Computational Science, ICCS 2020 - Amsterdam, Netherlands Duration: 3 Jun 2020 → 5 Jun 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12138 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Computational Science, ICCS 2020
Country/Territory	Netherlands
City	Amsterdam
Period	3/06/20 → 5/06/20

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-030-50417-5_45

Anten2020_Chapter_AnAdaptiveComputationalNetworkModelFinal published version, 3.01 MBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/340162169

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Anten, J., Earle, J., & Treur, J. (2020). An adaptive computational network model for strange loops in political evolution in society. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, P. M. A. Sloot, P. M. A. Sloot, P. M. A. Sloot, J. J. Dongarra, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II (Vol. 2, pp. 604-617). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12138 LNCS). Springer. https://doi.org/10.1007/978-3-030-50417-5_45

Anten, Julia ; Earle, Jordan ; Treur, Jan. / An adaptive computational network model for strange loops in political evolution in society. Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II. editor / Valeria V. Krzhizhanovskaya ; Gábor Závodszky ; Michael H. Lees ; Peter M.A. Sloot ; Peter M.A. Sloot ; Peter M.A. Sloot ; Jack J. Dongarra ; Sérgio Brissos ; João Teixeira. Vol. 2 Springer, 2020. pp. 604-617 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "An adaptive computational network model for strange loops in political evolution in society",

abstract = "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{\textquoteright}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.",

author = "Julia Anten and Jordan Earle and Jan Treur",

year = "2020",

doi = "10.1007/978-3-030-50417-5_45",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Krzhizhanovskaya, {Valeria V.} and G{\'a}bor Z{\'a}vodszky and Lees, {Michael H.} and Sloot, {Peter M.A.} and Sloot, {Peter M.A.} and Sloot, {Peter M.A.} and Dongarra, {Jack J.} and S{\'e}rgio Brissos and Jo{\~a}o Teixeira",

booktitle = "Computational Science – ICCS 2020",

note = "20th International Conference on Computational Science, ICCS 2020 ; Conference date: 03-06-2020 Through 05-06-2020",

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Anten, J, Earle, J & Treur, J 2020, An adaptive computational network model for strange loops in political evolution in society. in VV Krzhizhanovskaya, G Závodszky, MH Lees, PMA Sloot, PMA Sloot, PMA Sloot, JJ Dongarra, S Brissos & J Teixeira (eds), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II. vol. 2, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12138 LNCS, Springer, pp. 604-617, 20th International Conference on Computational Science, ICCS 2020, Amsterdam, Netherlands, 3/06/20. https://doi.org/10.1007/978-3-030-50417-5_45

An adaptive computational network model for strange loops in political evolution in society. / Anten, Julia; Earle, Jordan; Treur, Jan.
Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II. ed. / Valeria V. Krzhizhanovskaya; Gábor Závodszky; Michael H. Lees; Peter M.A. Sloot; Peter M.A. Sloot; Peter M.A. Sloot; Jack J. Dongarra; Sérgio Brissos; João Teixeira. Vol. 2 Springer, 2020. p. 604-617 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12138 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Anten J, Earle J, Treur J. An adaptive computational network model for strange loops in political evolution in society. In Krzhizhanovskaya VV, Závodszky G, Lees MH, Sloot PMA, Sloot PMA, Sloot PMA, Dongarra JJ, Brissos S, Teixeira J, editors, Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II. Vol. 2. Springer. 2020. p. 604-617. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2020 Jun 15. doi: 10.1007/978-3-030-50417-5_45

An adaptive computational network model for strange loops in political evolution in society

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