Edgar,

one question posed was:
"How could a complex mental model actually accurately model something that was 
not equally complex or more?"

As an answer, just please go ahead and remember the case of "Epicycles", in an 
early model of the Solar System.  It was accurate in modeling and even in 
predicting, but, as you also know, got off initially on the wrong foot, and so 
was a very complex castle built in the air, hoping to model a quite simple 
situation.

Current models seem moderately better.

Yet, beyond just a single solar system, the non-Keplerian rotation curves of 
disk-galaxies are not explained, not even that of our Milky Way.  The nature of 
unseen mass is unknown and not a feature of any model, except as a suspect 
still at-large.  This casts suspicion on the whole model.

For long in Philosophy of Science, there has been a wonderment over the 
"Isomorphism" that arises in our thought between what we call The World, and 
models, but naming the similarity of structure or form with a five-syllable 
word does not discover anything particular.  It's like naming certain animal 
behavior "Instinct": A mere hiatus, a place-holder for ignorance.  Yet, the 
Logical Positivists could neither find nor specify a criterion of Cognitive 
Meaningfulness.  So, despite the appearance of structure and form, there's 
nothing to point to in the world which seems to make us so sure of what we say 
about the world, and that includes a basis for all models, complex or simple.

"Complexity", though, is a Human category of thought; it is not in Nature.  
Nature is just Nature.  And models just model the surface, the "crust" of 
Nature.

To know Nature, you must first know Nature.  

Just as, to know Recursion, you must first know Recursion.  ;-)

--Joe 

> Edgar Owen <edgarowen@...> wrote:
>
> Bill,
> 
> Sure science is "human mental models of what reality might be". But what is 
> the reality that science so accurately models if it itself is not equally 
> complex or more?
> 
> How could a complex mental model actually accurately model something that was 
> not equally complex or more?
> 



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