Tutorial on agent-based modelling and simulation

被引:706
|
作者
Macal, C. M. [1 ,2 ]
North, M. J. [1 ,2 ]
机构
[1] Argonne Natl Lab, Decis & Informat Sci Div, Ctr Complex Adapt Agent Syst Simulat, Argonne, IL 60439 USA
[2] Univ Chicago, Computat Inst, Chicago, IL 60637 USA
关键词
agent-based modelling and simulation; modelling behaviour; social simulation;
D O I
10.1057/jos.2010.3
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Agent-based modelling and simulation (ABMS) is a relatively new approach to modelling systems composed of autonomous, interacting agents. Agent-based modelling is a way to model the dynamics of complex systems and complex adaptive systems. Such systems often self-organize themselves and create emergent order. Agent-based models also include models of behaviour (human or otherwise) and are used to observe the collective effects of agent behaviours and interactions. The development of agent modelling tools, the availability of micro-data, and advances in computation have made possible a growing number of agent-based applications across a variety of domains and disciplines. This article provides a brief introduction to ABMS, illustrates the main concepts and foundations, discusses some recent applications across a variety of disciplines, and identifies methods and toolkits for developing agent models.
引用
收藏
页码:151 / 162
页数:12
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