Université de Lyon, Laboratoire de Physique, Ecole Normale Supérieure Lyon and Centre National de la Recherche Scientifique, 46 Allée d'Italie, F-69007 Lyon, France.
Proc Natl Acad Sci U S A. 2009 Dec 8;106(49):20622-6. doi: 10.1073/pnas.0906263106. Epub 2009 Nov 23.
Linking microscopic and macroscopic behavior is at the heart of many natural and social sciences. This apparent similarity conceals essential differences across disciplines: Although physical particles are assumed to optimize the global energy, economic agents maximize their own utility. Here, we solve exactly a Schelling-like segregation model, which interpolates continuously between cooperative and individual dynamics. We show that increasing the degree of cooperativity induces a qualitative transition from a segregated phase of low utility toward a mixed phase of high utility. By introducing a simple function that links the individual and global levels, we pave the way to a rigorous approach of a wide class of systems, where dynamics are governed by individual strategies.
微观和宏观行为的联系是许多自然科学和社会科学的核心。这种表面上的相似性掩盖了不同学科之间的本质区别:尽管物理粒子被认为是使全局能量最大化的,但经济主体则使自己的效用最大化。在这里,我们精确地解决了一个类似于 Schelling 的隔离模型,该模型在合作和个体动力学之间连续插值。我们表明,增加合作程度会导致从低效用的隔离相到高效用的混合相的定性转变。通过引入一个简单的函数来连接个体和全局水平,我们为一类广泛的系统的严格方法铺平了道路,其中动力学由个体策略控制。