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.
|Title of host publication||Proceedings of the 20th International Conference on Computational Science, ICCS'20|
|Publisher||Springer Nature Switzerland AG|
|Publication status||Accepted/In press - 25 Mar 2020|
|Name||Lecture Notes in Computer Science|
Anten, J., Earle, J., & Treur, J. (Accepted/In press). An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society. In Proceedings of the 20th International Conference on Computational Science, ICCS'20 (Lecture Notes in Computer Science). Springer Nature Switzerland AG.