复杂度曲线——一个系统思维的新工具  

Complexity Profile:A New Ideal of Systematic Thinking

作　　者：陈清华 郑孙婧 沈忱 李克强 狄增如 CHEN Qing-hua;ZHENG Sun-jing;SHEN Chen;LI Ke-qiang;DI Zeng-ru(School of Systems Science,Beijing Normal University,Beijing 100875,China;New England Complex Systems Institute,Boston 02138,USA)

机构地区：[1]北京师范大学系统科学学院,北京100875 [2]新英格兰复杂系统研究所,波士顿02138

出　　处：《系统科学学报》2025年第1期36-40,共5页Chinese Journal of Systems Science

基　　金：国家自然科学基金(71731002);国家社会科学基金(22BRK201)。

摘　　要：在人类理解和利用、改造各种复杂系统的活动中,还原论的思想和方法受到了越来越多的挑战。复杂系统科学突破了还原论,强调了系统组元之间的关联作用而不单是组元本身的属性,为理解系统、应用系统提供了新的思路和方法。这门新兴科学的目的是对系统一般属性的理解和讨论,而不局限于对某个具体系统动态的建模。Yaneer Bar-Yam所提出的复杂度曲线是复杂系统科学研究发展中的一个典型成果,为我们用系统思维理解世界提供了一个有益的框架。本文对其相关工作进行梳理和补充,并结合具体的案例进行分析,以求让读者更好的理解。In the process of human understanding,utilizing,and transforming all kinds of complex systems,the ideas and methods of reductionism have been more and more challenged.Emphasizing the role of associations among system components rather than just the components themselves,complex systems science breaks through reductionism and provides new ideas and methods for understanding and applying various complex systems.The aim of this new science is to understand and discuss the general properties of systems,rather than being limited to modeling the dynamics of a particular system.The complexity profile proposed by Yaneer Bar-Yam is typical achievement of the development of complex system science,which provides a useful framework for us to understand the world.This article sorts out and complements related work,and interprets it with detailed cases,in order to make readers understand it better.

关 键 词：复杂度曲线 复杂度 尺度 信息熵 互信息 

分 类 号：N941[自然科学总论—系统科学]