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基于信息熵的复杂系统涌现量化方法研究 被引量:7

Emergence Quantitative Analysis of Complex Adaptive Systems Based on Shannon's Information Entropy
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摘要 涌现性是复杂系统中的重要内容,传统研究缺乏对其定量描述。针对这一现状,提出了一种涌现定量度量方法。首先,在深入分析熵与涌现关系的基础上提出了基于信息熵的涌现度量流程;其次,采用Parzen窗方法对涌现定量度量中关键问题参数熵进行求解,并对如何应用到具体系统中进行了说明;最后,进行了仿真实验。结果证明该方法有效可行。 Emergence is an important content of Complex systems, but traditional research on emergence lacks quantitative description. Aiming at this problem, this paper proposes an emergence quantitative measurement method. Firstly, a process of emergence quantitative measurement is proposed based on in-depth analysis of the relationship of entropy and emergence; secondly, this paper uses Parzen window to find the emergence quantitative measurement entropy parameters, and describes how to apply this solution to specific systems; finally, simulation experiments are given and the result shows that this method is feasible and efficacious.
出处 《信息工程大学学报》 2014年第3期270-274,共5页 Journal of Information Engineering University
关键词 涌现 复杂系统 定量度量 Parzen窗口 emergence complex system quantitative measurement entropy Parzen window
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