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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.
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
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.
From: Roger L. Costello [mailto:firstname.lastname@example.org]
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