New paradigms towards the modelling of complex systems in behavioral economics

被引：16
作者：
Marsan, G. Ajmone [1 ,2 ]
机构：
[1] Inst Adv Studies, IMT, I-55100 Lucca, Italy
[2] EHESS, F-75006 Paris, France
来源：
MATHEMATICAL AND COMPUTER MODELLING | 2009年 / 50卷 / 3-4期
关键词：
Kinetic theory; Stochastic games; Active particles; Socio-economic systems; Evolution and dynamics; STOCHASTIC GAME-THEORY; IMMUNE COMPETITION; STATE;
D O I：
10.1016/j.mcm.2009.03.004
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper develops a mathematical framework based on kinetic theory for active particles and on a suitable decomposition into functional subsystems and shows how it can be implemented to describe some specific complex economic applications. Specifically, the applications are focused on opinion dynamics and job mobility phenomena. These two examples offer a first insight into multiscale issues: starting from the application, a preliminary mathematical framework taking into account both microscopic and macroscopic interactions is developed. This framework may be adapted to the modelling of a great variety of complex phenomena. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码：584 / 597
页数：14
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