coarse graining

[Nick Thompson]

Frank, 'n all.

I feel like I have been waiting to read something like this for years.  

A kind of computational time-lapse photography.  

Can we discuss it, first thing, at FRIAM.

Does anybody UNDERSTAND it.

Nick

Nicholas S. Thompson
Professor of Psychology and Ethology
Clark University
[hidden email]
http://home.earthlink.net/~nickthompson/
 [hidden email]

> [Original Message]
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> To: <[hidden email]>
> Date: 3/3/2005 9:00:22 AM
> Subject: Friam Digest, Vol 21, Issue 3
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> Today's Topics:
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>    1. Too Much Information (Frank Wimberly)
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> ----------------------------------------------------------------------
>
> Message: 1
> Date: Wed, 2 Mar 2005 14:47:22 -0500
> From: "Frank Wimberly" <[hidden email]>
> Subject: [FRIAM] Too Much Information
> To: <[hidden email]>
> Message-ID: <008101c51f60$a79a35b0$0300a8c0@FRANKNOTEBOOK>
> Content-Type: text/plain; charset="iso-8859-1"
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> >From the ACM Technews mailing:
>
> • "Too Much Information"
> New Scientist (02/26/05) Vol. 185, No. 2488, P. 32; Buchanan, Mark
> Earthquakes, ecosystems, economies, and other inherently complex systems

and
> events long regarded to be mathematically irreducible could be more
> measurable then previously thought, according to research into cellular
> automata, which are computer programs that can form complex patterns by
> following simple rules. University of Illinois at Urbana-Champaign
> researchers Nigel Goldenfeld and Navot Israeli applied pattern analysis
via
> "coarse-grained" models to cellular automata. Such analysis, in which the
> models concentrate only on the most relevant details of the
pattern-forming
> process, has demonstrated that similar logic principles apply to
completely
> different situations. Goldenfeld and Israeli established that in 240 out
of
> 256 cellular automata outlined by mathematician Stephen Wolfram, rules
that

> generated relatively simple and predictable patterns roughly mirrored the
> behavior of rules that led to computationally irreducible patterns. This
> rule also held for automata notorious for their computational
> irreducibility. Meanwhile, Santa Fe Institute physicist Jim Crutchfield
> believes connections between the past and future for virtually any system
> could be predicted with a "computational mechanics" approach he has
> developed. He reasons that the various histories of a system can be sorted
> into classes, so that the same outcome applies for all histories in each
> class. This means that many details of the underlying system may be
> inconsequential, so that an approximate description much like Goldenfeld

and

> Israel's coarse-grained models can be organized and used to make
> predictions. Crutchfield and Goldenfeld agree that coarse-graining could
> help tackle deep scientific problems.
>
>
> ---
> Frank C. Wimberly       140 Calle Ojo Feliz       Santa Fe, NM 87505
> Phone:   [phone] or 505 670-9918 (cell)
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