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Symmetrical overhead in flow networks

 

作者: ROBERTE. ULANOWlCZ,   JEFFREYS. NORDEN,  

 

期刊: International Journal of Systems Science  (Taylor Available online 1990)
卷期: Volume 21, issue 2  

页码: 429-437

 

ISSN:0020-7721

 

年代: 1990

 

DOI:10.1080/00207729008910372

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Recent work by one of the authors has identified the average mutual information and the conditional entropy as two measures from information theory that are useful in quantifying the system organization and incoherence, respectively. While the scaled average mutual information, or network ascendency, is inherently symmetrical with respect to inputs and outputs, the scaled conditional entropy, or overhead, remains asymmetrical. Employing the joint entropy, instead of the conditional entropy, to characterize the overhead, results in a symmetrical overhead and also permits the decomposition of the system capacity, or complexity, into components useful in following the response of the whole system to perturbations.

 

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