On Wed, May 10, 2006 at 03:18:02PM +0100, Russell Wallace wrote:

> It won't. Uncertainty is a necessary part of life in the real world; formal
> logic just isn't a powerful enough tool by itself to deal with it.

Yeah, current systems which rely on proofs can't prove their way
out of a paper bag. Natural intelligence is about making realtime
decisions from incomplete, partially incorrect, noisy data. A lot
of neural crunch in the processing pipeline (which is not really a
strictly linear pipeline) is dedicated to extract higher-order 
representation.

I don't think you can build a domain-specific yet an all-purpose
intelligence. If you've been raised on reading text streams it won't 
help you much to navigate physical reality. Don't diss DARPA's Grand
Challenge, this is where real AI work is.
 
> Our intuitions have evolved over millions of years of testing; while
> necessarily imperfect, they're proven powerful enough for survival, at
> least. I expect any successful AGI will have to adopt those intuitions or

Biology evolved all-purpose processing hardware, especially recently
(neocortex). It can remap itself to fill in damage in older, specialized
areas if lesioned. So it may be enough if you can reverse-engineer
the neocortex -- of course, including its development, where lots of
action occurs.

> something similar to them, at least for awhile. Ultimately it may start
> developing its own, better intuitions; but I see that as something for the
> far future, beyond our prediction horizon.

By definition, if AIs walk the Earth and roam the space, it's no longer our
planet as we know it.
 
> (An aside on the original topic: if you look at Marc's posts for the last
> few years, the main thing wrong with them has been too much drift into
> philosophy and intuition away from hard data and formal reasoning; so in
> fairness, this switch to overemphasis on rigor, while not absolutely true,
> may be something he needs to do at the moment.)

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