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Robert Howard wrote:
> That's what modeling is! A framework for understanding! A tool for
> communication!

I disagree.  Modeling is not _a_ framework.  It is the _process_ of
building a framework.  Modeling is a behavior, not a state.  The outcome
of modeling is the framework.

More specifically, modeling is rhetoric.  When you build a model, you
are making an argument that proceeds from premises to conclusion.

When one uses a pre-existing framework (e.g. continuum math) in which to
couch their argument, then one has to ensure that all the assumptions in
the framework are satisfied by the rest of the rhetoric.  And the
argument does not apply if any of those assumptions are not satisfied by
the referent.  Worse yet, it's inconsistent if any sentence in the
argument contradicts one of the others.  (Note that circular arguments
can be useful, particularly in models of complex systems, as long as the
circularity is clear and identified.)

> The less constrained a framework is, the less useful it is.

No.  A less complicated framework is good for less complicated
arguments.  A more complicated framework is good for more complicated
arguments.  Both are equally useful depending on what they're being used
for.

More specifically, a less complicated framework is good for
_generalizable_ (abstract) results.  A more complicated framework is
good for more particular (concrete) results.

This is one of the reasons ABM is considered good for very particular
(concrete) situations and analytically soluble models are often less
applicable.  It's also the reason why, if you can achieve them,
analytically soluble models are much more powerful than ABMs.  (Hence
all the yammering we hear about "over-parameterized" or "over-fitted".)

> If we have many different interpretations for words and symbols, is not
> our language less accurate and useful? We'd spend more time explaining
> what our interpretation du jour is and waste time assuming we both are
> on the same page when we're really not.

No.  Multiple meanings for symbols doesn't make the language less
accurate or less useful.  It only means that an argument, built using
the language, must be more specific than the language, itself.

Very ambiguous human languages are quite useful and are in no danger of
being replaced by unambiguous languages.  Further, an argument can be
made that the ambiguity in languages makes them _more_ useful than
strict languages.  Even further, most (perhaps _all_) models that show
actual, practical impact on our world are built up using ambiguous human
language, not rigid unambiguous ones.  Even in those cases where part of
the model is rigidly specified with, say, math, the rigid part is bathed
in a gloriously ambiguous soup of unending prose.

These arguments (sentences) can be excruciatingly detailed even though
the symbols in the underlying language are very ambiguous.

> A framework is a catalyst for communication! When it inhibits knowledge
> transfer, it's abandoned by better ones. Relativity is a more accurate,
> useful framework than Newtonian because it adds more constraining rules,
> like the space-time invariant and E=MC^2.

[grin]  No _sane_ person would abandon Newtonian physics.  Instead, what
we do is use one when it's appropriate and the other when it's
appropriate.  Appropriateness is determined in our usual ambiguous way.

> A good constrained framework prevents a modeler from putting a square
> peg in a round hole. The less constrained ones allow more entropy.

Exactly!  But only the gods know what that slimy programmer did when the
modeler wasn't looking.

- --
glen e. p. ropella, 971-219-3846, http://tempusdictum.com
Cynics regarded everybody as equally corrupt... Idealists regarded
everybody as equally corrupt, except themselves. -- Robert Anton Wilson

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