RE: Complex Systems [was: Ontologies vs Schemas vs Transformat
Yes. Reading experience but everyone everywhere has experience with complex systems because they are products of one: evolving in a semi-closed environment called the real world. That was a source for my work on information ecosystems. http://www.eco-online.com/pdf/infoeco.pdf Prior to that, there is work on behavioral cybernetics that is of interest. Complex systems theory was part of the research I did when working on Enterprise Engineering and Beyond the Book Metaphor; unfortunately, these aren't available today. Just be aware that complexity theory can be a bit of a rat hole when it comes to practical applications, or that you will begin to see such practices such as object encapsulation and windowing systems as techniques for controlling the chaotic effects of complex systems. Undamped feedback is a common source of chaos. That is why controls are enabled given an intelligent observer but can be emergent given an affective ground (say the environment as a sign capable or semiotic entity). The principle challenge of designing an evolving system is scaling the controls. Given that no system is ever completely closed or completely open, you will always be dealing with energy loss or Boltzman entropy where problems of energy loss and determinism might be summarized in the term "missing information". Fisher Information is of interest. Note that schemas and ontologies are forms of controls. The challenge could be summarized by the phrase "directed evolution in faster than real time" systems. Or you cut the Gordian know and reinvent HTML which reinvented the GML work of people like Truly Donnovan and SGML which reinvented the work of Brian Reid in Scribe, and so on. len From: Roger L. Costello [mailto:costello@m...] It might be fun to create a list to discuss semantics and data interoperability as a complex system? I am just starting to learn about complex systems. Does anyone have a lot of experience with it? /Roger
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