On 10/5/07, Richard Loosemore <[EMAIL PROTECTED]> wrote:
> Vladimir Nesov wrote:
> > On 10/5/07, Richard Loosemore <[EMAIL PROTECTED]> wrote:
> >> Mike Dougherty wrote:
> >>> On 10/4/07, Richard Loosemore <[EMAIL PROTECTED]> wrote:
> >>>> All understood.  Remember, though, that the original reason for talking
> >>>> about GoL was the question:  Can there ever be a scientific theory that
> >>>> predicts all the "interesting creatures" given only the rules?
> >>>>
> >>>> The question of getting something to recognize the existence of the
> >>>> patterns is a good testbed, for sure.
> >>> Given finite rules about a finite world with an en effectively
> >>> unlimited resource, it seems that every "interesting creature" exists
> >>> as the subset of all permutations minus the noise that isn't
> >>> interesting.  The problem is in a provable definition of interesting
> >>> (which was earlier defined for example as 'cyclic')  Also, who is
> >>> willing to invest unlimited resource to exhaustively search a "toy"
> >>> domain?  Even if there were parallels that might lead to formalisms
> >>> applicable in a larger context, we would probably divert those
> >>> resources to other tasks.  I'm not sure this is a bad idea.  Perhaps
> >>> our human attention span is a defense measure against wasting life's
> >>> resources on searches that promise fitness without delivering useful
> >>> results.
> >> I hear you, but let me quickly summarize the reason why I introduced GoL
> >> as an example.
> >>
> >> I wanted to use GoL as a nice-and-simple example of a system whose
> >> overall behavior (in this case, the existence of certain patterns that
> >> are "stable" or "interesting") seems impossible to predict from a
> >> knowledge of the rules.
> >
> > You do predict that behavior by simulating the model. What you
> > supposedly can't do is to find initial conditions that will lead to
> > required global behavior. But you actually can - for example by
> > enumerating possible initial conditions in a brute force way and
> > looking at what happens when you simulate it. It's just very
> > inefficient, and as a result you can't enumerate many initial
> > conditions which will lead to interesting global behavior. And
> > probably there are tricks to get better results, by restricting search
> > space. You propose a framework which will help in efficient
> > enumeration of low-level rules and estimation of high-level behavior,
> > and restrain possibilities to as close as possible to existing working
> > system - human mind. All along these same lines. Computational
> > mathematics deals with this kind of thing all the time.
> >
>
> Vladimir,
>
> You keep taking this example out of context!   You are making statements
> that are completely oblivious to the actual purpose that the GoL example
> serves in the paper:

Given that this purpose is what I'm trying to understand, being
non-oblivious to it at the same time would be strange indeed.

> everything you say above is COMPLETELY impractical
> if it is generalized to systems more complex than GoL.

I disagree. It's not specific enough to be of practical use in itself,
but it's general enough to be a correct statement about practically
useful methods. Please don't misunderstand my intention: I find your
way of presenting technical content rather obscure, so I'm trying to
construct descriptions that apply to what you're describing, starting
from simple ones and if necessary adding details. So if they are
overly general, it's OK, but if they are wrong, please point out why.

> In short, your statements are complete non-sequiteurs.

They can be inadequate for purposes of discussion as you perceive it,
yes, but it in itself doesn't make them non-sequiturs. To assert
otherwise you need to point to specific details.

> This is about the fourth or fifth time that you have taken the thing out
> of context and then dismissed the whole thing with a comment like
> "Computational mathematics deals with this kind of thing all the time."

It's not dismissal, it's specific statement about typicality of
approach I described. Which can happen to be an inadequate description
of what you do, but such statement in itself remains correct for what
it's applied to.

-- 
Vladimir Nesov                            mailto:[EMAIL PROTECTED]

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