Kinetic exchange models of societies and economies

G. Toscani, P. Sen, Soumyajyoti Biswas
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Abstract

The statistical nature of collective human behaviour in a society is a topic of broad current interest. From formation of consensus through exchange of ideas, distributing wealth through exchanges of money, traffic flows, growth of cities to spread of infectious diseases, the application range of such collective responses cuts across multiple disciplines. Kinetic models have been an elegant and powerful tool to explain such collective phenomena in a myriad of human interaction-based problems, where an energy consideration for dynamics is generally inaccessible. Nonetheless, in this age of Big Data, seeking empirical regularities emerging out of collective responses is a prominent and essential approach, much like the empirical thermodynamic principles preceding quantitative foundations of statistical mechanics. In this introductory article of the theme issue, we will provide an overview of the field of applications of kinetic theories in different socio-economic contexts and its recent boosting topics. Moreover, we will put the contributions to the theme issue in an appropriate perspective. This article is part of the theme issue ‘Kinetic exchange models of societies and economies’.
社会和经济的动态交换模型
社会中人类集体行为的统计性质是当前广泛关注的话题。从通过思想交流形成共识、通过金钱交换分配财富、交通流量、城市增长到传染病传播,这种集体反应的应用范围跨越多个学科。动力学模型是一种优雅而有力的工具,可以解释无数基于人类互动的问题中的这种集体现象,在这些问题中,动力学的能量考虑通常是不可接近的。尽管如此,在这个大数据时代,从集体反应中寻找经验规律是一种重要而必要的方法,就像统计力学定量基础之前的经验热力学原理一样。在这篇主题问题的介绍性文章中,我们将概述动力学理论在不同社会经济背景下的应用领域及其最近的推动主题。此外,我们将以适当的角度看待对主题问题的贡献。本文是“社会和经济的动态交换模型”主题的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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