Thus spake russell standish circa 09-09-21 05:20 PM:
> I would say the two terms in essence mean the same thing. I would say
> a "complex system" is one that exhibits "emergence".
> 
> BTW, I technically use the term complexity to refer to a measure - it
> is a numerical quantity, usually closely related to information. But I
> do recognise that it could be used to describe a quality - ie that which
> makes a complex system complex. If the first sentence is true, then
> complexity would be the quality of exhibiting emergence :).

I could live with the idea that emergence is a measure of complexity
(which is what I infer from "a complex system exhibits emergence").  I
don't treat complexity, in itself, as a measure, though.  Complexity is
a property (scaled at least from simple to complex).  And there are
measures that attempt to estimate the complexity of a system.  It's
important the measures of complexity need not be _metrics_; but they can
be.  So the co-domain of a measure of complexity can be qualitative,
hyperspatial, discrete, continuous, whatever.

> I think the difference between our approaches is you would prefer to
> give up emergence to the the obfuscating mysterians, and invent a new
> term "complexity" for the concept, or similarly related,

Well, almost, except I've seen a lot more work on measures of complexity
than I have measures of emergence.  So, there's at least some footing
there.  And I believe my defn (and yours) could leverage that work to
some extent, except I don't see the need for "emergence" as a term when
we have complexity and measures of complexity.  If emergence were just a
(particular type of) measure of complexity, then even if it's weren't as
useless as I find it, it's usefulness would be minimal and specific,
which would actually make me happy. 8^)

-- 
glen e. p. ropella, 971-222-9095, http://agent-based-modeling.com


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