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.
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CITATION STYLE
Anten, J., Earle, J., & Treur, J. (2020). An adaptive computational network model for strange loops in political evolution in society. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12138 LNCS, pp. 604–617). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-50417-5_45
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