I agree.

It would still be left open as to whether you choose do model the weather,
economics or defense systems as Dynamical Systems, Complex Systems (ABM) or
Discrete Event Queuing models. The whole coupled system could be one way or
the other or most probably a hybrid

To take an example of traffic modeling that we've done we use all three:

For large spatial areas with many roads, we'll model traffic as a Dynamical
System of coupled differential equations of traffic density flowing from
sources to sinks. As we zoom in, we explode the road densities to
agent-based complex systems models that can have driver-driver interactions
that allows for congestion and traffic jam dynamics. As we get to
intersections, we transition from agent-based models and model the
intersections as a discrete event queue where the traffic light is moving
cars from incoming road graph edges to outgoing edges.

_______________________________________________________________________
stephen.gue...@simtable.com <stephen.gue...@simtable.com>
CEO, Simtable  http://www.simtable.com
1600 Lena St #D1, Santa Fe, NM 87505
office: (505)995-0206 mobile: (505)577-5828
twitter: @simtable

On Mon, May 29, 2017 at 11:33 AM, Marcus Daniels <mar...@snoutfarm.com>
wrote:

> Stephen writes:
>
>
>
> “Dynamical Systems and Complex Systems language are often used
> interchangeably by different complexity researchers and the boundaries are
> fuzzy in practice.
>
>
>
> I would say a modelling effort would be more of interest to the Complex
> Systems community, if say, a weather model were coupled to a weather
> modification effort and the weather modification effort was coupled to
> economic or defense concerns.   In your second example, it is not crucial
> to have a sophisticated physics model of the weather.   In the example
> above, it would be.
>
>
>
> Marcus
>
>
>
>
>
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