We definitely need better models of complex system events. Here's
another, to help imagine growth as a spontaneous evolutionary process,
as if an organizational 'fire' that begins with a 'spark' of change.
It's obvious enough that growth systems produce rapid change in complex
systems without
Phil:
I like your model, and especially so if we can figure out ways to drill down
analytically into the various levels of data that should be found in the
period between Before and After. And I just may use it in a lecture in a
few weeks (with all due attribution, of course).
You wrote: "s
Phil Henshaw wrote:
> Growth taken to it's absolute limit always leads to an absolutely
> impenetrable wall of
> complexity, at which point turbulence or it's equivalents interrupt the
> whole process. I don't think we want to do that.
>
To control a system a regulator must be able to absorb
The Carrot Clustering Engine is getting pretty good:
http://demo.carrot2.org/demo-stable/search?q=complex+adaptive+systems
The idea is simple: the results of standard search engines are too
unstructured. The Carrot project has been doing a great job of very
fast clustering .. fast enough s
Glad you like it! Sometimes a model works better when it's not
completely consistent with the facts. The beginning of growth is never
a big event, but calling it 'an earth shaking boom' conveys the
significance of it's as yet undiscovered future.This one also plays
a little loose with switc
rather good it seems...
>
> The Carrot Clustering Engine is getting pretty good:
>
> http://demo.carrot2.org/demo-stable/search?q=complex+adaptive+systems
>
> The idea is simple: the results of standard search engines are too
> unstructured. The Carrot project has been doing a great job of
Marcus wrote:
> Phil Henshaw wrote:
> > Growth taken to it's absolute limit always leads to an absolutely
> > impenetrable wall of complexity, at which point turbulence
> > or it's equivalents interrupt the
> > whole process. I don't think we want to do that.
> >
> To control a system a regu
