复杂性研究的新动向--基于主体的建模方法及其启迪

基于主体的建模方法（AMA，Agent-Based Modelling)，具有主动性、层次性、动态性、可操作性等优点，为人们认识和理解一大类复杂系统，即复杂适应系统（CAS，Complex Adaptive System)提供了富有启发性的新思路和新视角，对于社会、经济、生物、环境等由大量具有主动性的主体（Agent)组成的复杂系统来说，具有特别的意义。另一方面，在计算机技术迅速发展的直接推动下，出现了用于实施ABM方法的一系列软件平台，除众所周知的SWARM之外，还有ASCAPE、REPAST、TNG－lab等，这些平台的出现为ABM方法的推广应用提供了方便的条件。从方法论的角度来看，ABM方法也给我们提供了多方面的、有益的启迪。

A New Trend in Complexity Studies--Agent Based Modelling and Its Implication

Agent Based Modelling(ABM) has many new features,which provide more power to understand and describe a special kind of complex system,the Complex Adaptive System(CAS).These new features include active,hierarchical,dynamic and operational.This modelling approach is very useful for those systems,which have many active agents as social,economic,biological and environment system.On the other side,the rapid progress in computer technique area also provided more power for this trend. Several powerful platforms for ABM have been provided as famous SWARM, ASCAPE, REPAST and TNG-lab.These platforms let people who are not computer expert can use ABM easier. Finally,the ABM also provided many useful edification for our methodology doing things.