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Information Entropy Measures Applied To Hierarchial Complex Technical And Socio-Technical Systems, Satya Aditya Akundi

Open Access Theses & Dissertations

A significant increase of Systems-of-Systems (SoS) is currently observed in the social and technical domains. With increasing constituent components, Systems of Systems are becoming larger and more complex. Recent research efforts have highlighted the importance of identifying innovative statistical approaches for analyzing complex systems to better understand how they work. This research is aimed towards developing an Information Entropy based framework to analyze complex technical and social systems. Entropy in terms of information theory can be seen as the expected amount of information observed in an event. A parallel can be drawn between information entropy and system complexity, where, as …