From: James Rogers (jamesr@best.com)
Date: Fri Jun 14 2002 - 12:14:44 MDT
On Fri, 2002-06-14 at 06:35, Martin Moore wrote:
>
> Instead, as is currently becomming pretty vogue,
> allowing the program to write itself might be a faster
> approach, even though it seems 'inefficient' due to
> its randomness. However, I still think that a lot of
> these genetic models are good, but still focus too
> heavily on creating "that one perfect seed". It's way
> too top-down.
In my (limited) experience, GP is only tractable for tightly constrained
models. For the purposes of AGI, this would mean that one would
effectively be required to solve the problem before you could use GP to
"solve the problem". GP is good for finding optimal solutions within
well-defined boundaries and metrics though, at least in terms of being
tractable for practical purposes. AFAIK, it fairs much poorer at
unconstrained discovery type problems.
-James Rogers
jamesr@best.com
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