Kaufman Miron, Diep Hung T, Kaufman Sanda
Department of Physics, Cleveland State University, Cleveland, OH 44115, USA.
Laboratoire de Physique Théorique et Modélisation Université de Cergy-Pontoise, CNRS, UMR 8089, 2 Avenue Adolphe Chauvin, 95302 Cergy-Pontoise CEDEX, France.
Entropy (Basel). 2020 Feb 14;22(2):214. doi: 10.3390/e22020214.
We present our research on the application of statistical physics techniques to multi-group social conflicts. We identify real conflict situations of which the characteristics correspond to the model. We offer realistic assumptions about conflict behaviors that get factored into model-generated scenarios. The scenarios can inform conflict research and strategies for conflict management. We discuss model applications to two- and three-group conflicts. We identify chaotic time evolution of mean attitudes and the occurrence of strange attractors. We examine the role that the range of interactions plays with respect to the occurrence of chaotic behavior.
我们展示了关于统计物理技术在多群体社会冲突中的应用研究。我们识别出特征与该模型相符的实际冲突情况。我们对冲突行为提出了现实假设，这些假设被纳入模型生成的情景中。这些情景可为冲突研究和冲突管理策略提供参考。我们讨论了该模型在两组和三组冲突中的应用。我们识别出平均态度的混沌时间演化以及奇怪吸引子的出现。我们研究了相互作用范围对混沌行为出现所起的作用。
