Document Type
Article
Publication Date
12-6-2021
Abstract
A significant increase in System-of-Systems (SoS) is currently observed in the social and technical domains. As a result of the increasing number of constituent system components, Systems of Systems are becoming larger and more complex. Recent research efforts have highlighted the importance of identifying innovative statistical and theoretical approaches for analyzing complex systems to better understand how they work. This paper portrays the use of an agnostic twostage examination structure for complex systems aimed towards developing an information theorybased approach to analyze complex technical and socio-technical systems. Towards the goal of characterizing system complexity with information entropy, work was carried out in exploring the potential application of entropy to a simulated case study to illustrate its applicability and to establish the use of information theory within the broad horizon of complex systems. Although previous efforts have been made to use entropy for understanding complexity, this paper provides a basic foundation for identifying a framework to characterize complexity, in order to analyze and assess complex systems in different operational domains.
Recommended Citation
Akundi, A.; Smith, E. Quantitative Characterization of Complex Systems—An Information Theoretic Approach. Appl. Syst. Innov. 2021, 4, 99. https://doi.org/10.3390/asi4040099
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Title
Applied System Innovation
DOI
10.3390/asi4040099
Comments
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