Chris, (01)
I beg to differ with you on the point you are making to John. A model
(any model) is necessarily some sort of abstraction of the thing (referent?
real world? imagined ideal?) that it is representing. In this way, it is
an "approximation" of the thing that it is modeling. If this were not so,
then the model would be equal to the original, which is not the intent of
modeling. (02)
Chuck (03)
Charles Turnitsa
Project Scientist
Virginia Modeling, Analysis & Simulation Center
Old Dominion University Research Foundation
(757) 638-6315 (voice)
cturnits@xxxxxxx (04)
Christopher
Menzel
<cmenzel@xxxxxxxx To
> "[ontolog-forum] "
Sent by: <ontolog-forum@xxxxxxxxxxxxxxxx>
ontolog-forum-bou cc
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Re: [ontolog-forum] Visual
Complexity
02/07/07 01:58 PM (05)
Please respond to
"[ontolog-forum]
"
<ontolog-forum@on
tolog.cim3.net> (06)
(Embedded image moved to file: pic07058.gif) (07)
John, it is your use of "approximation" to characterize ALL models
without exception here that I object to. Of course, depending on
what it in the world one is trying to represent, a model *might*
necessarily be an approximation, especially if one is modeling
physical phenomena that are inherently vague or (in effect)
infinitely complex and hence which simply cannot be represented with
100% accuracy. Consider, e.g., modeling a stochastic process or
fluid flow by means of probability theory or differential equations.
However, many physical situations involve, *at a desired level of
granularity*, NO vagueness and NO intractable complexity at all, as
in my previous example involving faculty and administrators at Texas
A&M. Many ontologies involve this kind of sharply delineated,
unambiguously representable information. Your diagram above belies
this fact and suggests that models are always in some way false or
inaccurate. It just ain't so. (08)
Chris Menzel (09)
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