On Mon, Oct 25, 2004 at 09:01:42AM -0400, Brad Wyble wrote:

> I think you're a few orders of magnitude off, but I made basically the 

Not by much. A few liters of buckytronics is Avogadro country, roughly.

> same point here:
> 
> http://www.mail-archive.com/[EMAIL PROTECTED]/msg01509.html
> 
> But we're getting off track, my point at the start of this was that simple 
> theories allow efficient communication, and therefore are essential for 

AI is both. The evolution laws governing your bit assembly might be simple,
very simple in fact (but the space of them still much too large to be
brute-forced). But the initial seed complexity is not that, and the
human-equivalent AI target is anything by that -- as a wild guess it's somewhere in
the ~TBit range, possibly more. Knowledge about the world is anything but
compact, because the world is full of information.

> rapid progress in an effort like this, in which people are trying to 
> design or understand something that is holistic.   i.e. something that 

You can't understand an AI any more than you can understand a human person.
You can tweak evolutionary and morphogenetic parameters, though, and see
which impact they have on the end result.

> cannot be decomposed into mathematically discrete chunks the way 
> that the physical sciences often can.

Engineering massively emergent systems is not something we're familiar with.
But it doesn't mean it can't be done. You know the fitness function, let the
system design itself.
 
> AI and cognitive science both fall squarely into that category.

Molecular neuroscience allows you map molecular events in their impact on
structure and function. We're at the beginning here, but there are a lot
simple parameters there (as well as terribly complex ones) for tweaking.

While this hasn't been done, inflating the neocortex should result in a
smarter critter. And that's a trivial parameter.

-- 
Eugen* Leitl <a href="http://leitl.org";>leitl</a>
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