Elements of a network theory of complex adaptive systems

被引:0
作者
Green, David G. [1 ]
机构
[1] Monash Univ, Ctr Res Intelligent Syst, Clayton, Vic 3800, Australia
基金
澳大利亚研究理事会;
关键词
complex adaptive systems; networks; measures of complexity; structural homomorphism; simulation; MOTIFS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The need to understand and manage complex systems is increasing in importance, but complexity theory is still hampered by being highly fragmented in nature. This article argues that many elements for a general theory of complexity now exist and briefly reviews the main features. First, the universal nature of network model of complexity provides a suitable foundation for a general theory. A brief summary of the network model is followed by a discussion of related issues, including simulation, dynamics and self-organisation. Gaps identified include the need for formal methods to describe complexity and to identify structural equivalence. Finally, some important lessons from biology are summarised.
引用
收藏
页码:159 / 167
页数:9
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