My hypothesis is that interpretation and conflict-resolution of
already-discovered knowledge that is explicitly articulated in text,
can be done really effectively only on the basis of a large body of
low-level common-sense that has NOT been explicitly articulated in
text (but can be gathered via embodied learning)
Whereas my hypothesis is that low-level common-sense HAS been (somewhat)
explicitly articulated in text (just not in a single, convenient, easy to
find source -- and certainly subject to severe combinatorial explosion if
you don't have a *really, really* good KR scheme).
So, my guess is that your approach may well work to build some useful
practical domain-specific systems, but will hit a fairly low
intelligence ceiling...
I'm not sure that I would say that (innate to the system) intelligence is
necessarily my primary/only goal. If I *only* end up with a really kick-ass
argument resolution system, I'll be pretty ecstatic too.
----- Original Message -----
From: "Benjamin Goertzel" <[EMAIL PROTECTED]>
To: <agi@v2.listbox.com>
Sent: Wednesday, April 18, 2007 10:43 AM
Subject: Re: [agi] AGI interests
A
clearer way of stating how I perceive our approaches as differing would
be
to say that I believe that you are learning by discovery while I am
accumulating already discovered knowledge and resolving conflicts. I
think
that we are attacking two very different, complementary problems.
My hypothesis is that interpretation and conflict-resolution of
already-discovered knowledge that is explicitly articulated in text,
can be done really effectively only on the basis of a large body of
low-level common-sense that has NOT been explicitly articulated in
text (but can be gathered via embodied learning)
So, my guess is that your approach may well work to build some useful
practical domain-specific systems, but will hit a fairly low
intelligence ceiling...
But I will be pleased if I'm proved wrong ;-)
ben g
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