摘要
人类社会系统具有特定的形态结构,并且这种结构是在不断演化着的。试用一个新的普适原理——最大流理论解释社会系统组织结构的形成和演化过程,并运用该理论结合自组织特征映射(Self Organization Map,SOM)神经网络,以我国清代社会系统结构的确立为案例进行模拟,探寻社会结构演化的内在机制。
Human social system has intricate formation and structure and is in a constant evolution. This paper analyzes the process of formation and evolution of social system structure by a new universal principle called Maximal Flux Principle (MFP). A model based on MFP and Self Organization Map (SOM) Neural Networks is proposed to simulate the formation process of the Qing Dynasty. This paper also tries to find the underlying dynamics of social system evolution.
出处
《科技导报》
CAS
CSCD
2007年第16期53-56,共4页
Science & Technology Review
关键词
社会系统
最大流原理
结构
演化
social system
Maximal Flux Principle
structure
evolution