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Article on Epstein

Posted by glen ep ropella on Jun 27, 2007; 6:20pm
URL: http://friam.383.s1.nabble.com/Article-on-Epstein-tp524125p524130.html

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Richard Harris wrote:
> I've seen models which could require hundreds of pages to fully describe
> and required massive supercomputers to run. At the end of they day, if
> you can't explain something, what's the point?

This is an excellent point and is the primary cause for much angst and
hand-wringing (as well as pompous diatribes about things like parsimony,
over-parameterization, validation and verification, etc.) in the
simulation community.

At the end of the day, there's only one reason to develop models:  to
help you think.  Models do not predict, explain, or describe (or any
other verb) the real world.  _People_ predict, explain, and describe.
Models are like rocks or trees.  They're just more stuff meandering
about in the ambient goo around us.  As such, I (a person believe it or
not ;-) can use a rock to predict some phenomenon.  Or I can use a model
to predict some phenomenon.

So, the basic answer to your question: "If you can't explain something,
what's the point?"  Well, the point has to be derived from whoever is
using the model.  If the person is attempting to explain something with
a model, then if the model doesn't help the _person_ explain that thing,
then it's a misuse of the model.  Likewise, if a person is attempting to
predict something with a model and the model doesn't help the person
predict anything, then it's a misuse of the model.

Models are thinking tools, nothing more nor less.

- --
glen e. p. ropella, 971-219-3846, http://tempusdictum.com
... given any rule, however "fundamental" or "necessary" for science,
there are always circumstances when it is advisable not only to ignore
the rule, but to adopt its opposite. -- Paul Feyerabend

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