在扩展的谢林模型中,个体容忍度和集团内部分离的动态
Gabriel Acuña1,2, Eric Goles3,4
1Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Santiago, Chile. gabracuna@alumnos.uai.cl.
Scientific reports
|December 3, 2025
概括
本研究引入了分离模型中的个体药物容忍度,揭示了复杂的动态和新的集团内分离模式. 这些模式出现时,具有非常低耐受性的药物相互作用,优化系统能量.
科学领域:
- 社会学 社会学 社会学
- 计算社会科学 计算社会科学
- 基于代理的建模模型
背景情况:
- 经典的分离模型,如谢林的模型,通常假设均的剂量耐受性.
- 这种同质性限制了对微妙的社会动态和隔离模式的探索.
研究的目的:
- 为了研究单个,异质的剂量容忍对分离动态的影响.
- 探索不同的本地行为如何影响总体隔离模式.
主要方法:
- 在2D网格上实现动态分离模型.
- 引入每个药剂的不同的耐受性参数.
- 分析局部不稳定性和稳定性行为.
主要成果:
- 与舍林模型相比,与单个公差相比,分离动力学变得不那么可预测.
- 没有一项普遍规则规定了跨越所有容忍门的种族隔离.
- 当低耐受性药物相互作用时,出现具有特定几何形状的高效集团内部分离模式.
结论:
- 异质剂的容忍值显著改变了分离动态.
- 该模型揭示了由局部相互作用驱动的复杂的新兴模式.
- 个人容忍度是理解细微分离现象的关键因素.
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