English(EN) Absence of critical scaling in the Schelling segregation model

研究发现：Schelling 分离模型未显示关键尺度效应

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-17 13:25

本文研究了 Schelling 分离模型，未发现关键尺度效应的证据。研究探索了各种邻域定义和网格大小，一致表明尺度诊断未能指示临界转变。作者将这种关键现象的缺失归因于平衡态下缺乏长程相关性以及较高邻居数量下的确定性动力学，而非模型的阶梯结构。 AI

影响这项研究有助于对基于代理的模型进行理论理解，从而为涉及涌现行为和社会动态的 AI 系统的设计和分析提供信息。

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arXiv cs.MA (Multiagent) TIER_1 English(EN) · Sam Rifaki · 2026-08-17 13:25

舍林隔离模型中关键尺度缺失

We find no evidence of critical scaling in the Schelling segregation model, in either the Moore neighborhood or its dense-spectrum extension to Chebyshev radii up to $r_0 = 6$ ($k = 168$ neighbors). On periodic grids up to $L = 320$ with 50 trials per point (> 12,500 runs), every…