There's a curious reversal that occurred to me in reading an article by
Boschetti on the computability of nature in relation to Rosen's "Evolution
of life is not the construction of a machine", the deep problems of why math
"can't do nature".   I'm writing a piece on how self-consistent models don't
make good operating manuals because they omit the independent parts that
make environments work.  It's as a stating point for discussing how our
models fit their subjects and what to do about the radical lack of fit in
many cases.

Computability is usually discussed in terms of ‘chaos’ in which small
differences can have large mathematical consequences or the inability to
define boundary conditions clearly or that models can’t properly represent
the multiple scales of organization that natural systems have.   There's
also an incomputability of mathematical models that comes directly from our
means of doing it, the physical process of doing it.  Calculation has an
easily perceived ‘grain’ that comes from its being built from the assemblies
of individual parts in computers, the 1's and 0's.   Self-consistent sets of
equations do not have any grain.   The implied continuities of mathematics,
therefore, can not be represented with the integer calculations required for
digital processing.   Mathematical rules imply shades of difference and
dynamical derivative rates of change without limit.   Perhaps how our
mathematical tools necessarily operate then shows that the problem isn’t
just that how math is built it can't successfully emulate nature.   Maybe it
also shows that the way nature is built it can't successfully emulate math.
If nature "can't do math", that may have different implications.



Phil Henshaw                   
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680 Ft. Washington Ave   NY NY 10040  tel: 212-795-4844     
e-mail: [EMAIL PROTECTED]: www.synapse9.com  
“in the last 200 years the amount of change that once needed a century of
thought now takes just five weeks”




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