On 9/26/22 9:30 AM, Jon Zingale wrote:
One thing that got me interested in this work is the possibility of
organizations of agents in different frequency spaces coming together
to make agents over the total frequency domain. Also, I would be
curious about the robustness of agents under frequency filtering.
There appear to be possibilities here that weren't necessarily
available in other "smooth" approaches.
I'm really glad you tossed this one into the ring, BTW.
I don't know how this maps onto your own thoughts but I have been
cogitating on systems of systems (e.g. ecosystems,
sociopoliticaleconomic, etc) for some time and *they* definitely
represent huge scale ranges in any dimension you can identify/measure.
Multi-scale features abound in the these domains with all sorts of
frequency-dependent coupling/mixing models implied. " If a tick
carrying lyme disease falls off a grass-blade in a field and lands on a
pet dog with a ... human master who ... etc., does a butterfly flap it's
wings in a typhoon?" and "for want of a nail..." both come to mind.
I regularly have Herb Simon's prophetic statement
<https://www2.econ.iastate.edu/tesfatsi/ArchitectureOfComplexity.HSimon1962.pdf>
ringing in my ears when I see/hear/think about the modeling of systems
of systems:
/NEARLY DECOMPOSABLE SYSTEMS In hierarchic systems, we can
distinguish between the interactions among subsystems, on the one
hand, and the interactions within subsystems -i.e., among the parts
of those subsystems~n the other. The interactions at the different
levels may be, and often will be, of different orders of magnitude./
Agent modeling carries a strong bias toward quantized entities but makes
spatial and time frequency coupling more obvious/easy/explicit than some
other forms... I think of CA (including the myriad sub-species that
Chan offers in Table 1) as specialized/constrained cases of
Agent-models, just with specific spatio-temporal regularity imposed?
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