I thought that you implied that the solution to NLP does not need to
be general in its cognitive capacity.
Not deliberately. I suspect that it's going to require most of what
general cognition includes *at a specific level* (i.e. somewhere between but
not including the low/perceptual levels nor the
highest/inductive/deductive/rule-and-category-creating levels).
Fortunately, I'm also getting the impression (or developing a stronger
opinion) that there is far more declarative knowledge than actual rules at
this level.
Much depends
on how subtle the NLP solution is, e.g. if it resolves ambiguities all
on its own then it is "pretty much" intelligent,
I think that a true NLP solution pretty much has to resolve ambiguities all
on it's own.
but I think it
doesn't need to to be a viable NLP solution. The ambiguities can be
collapsed further down the way.
I don't think that the problem lends itself to partitioning that way.
----- Original Message -----
From: "Lukasz Stafiniak" <[EMAIL PROTECTED]>
To: <agi@v2.listbox.com>
Sent: Saturday, April 28, 2007 12:14 PM
Subject: Re: [agi] rule-based NL system
On 4/28/07, Mark Waser <[EMAIL PROTECTED]> wrote:
> I think that a *solution to NLP* is not a *solution to AGI*, so your
> argument does not apply.
I think that this depends upon your definition of intelligence and
also
assumes that a solution to NLP is not enough to boostrap the rest. I
could
argue the point either way. I think that NLP is difficult enough that it
will put you a huge way along the path to AGI (because, fundamentally,
language *requires* intelligence).
I thought that you implied that the solution to NLP does not need to
be general in its cognitive capacity. AGI could reuse NLP as part of
its general inference engine, that would be interesting. Much depends
on how subtle the NLP solution is, e.g. if it resolves ambiguities all
on its own then it is "pretty much" intelligent, but I think it
doesn't need to to be a viable NLP solution. The ambiguities can be
collapsed further down the way.
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