Yeah,
I don't think your statement is true...
And
I'm a huge advocate of the "integrative" approach. My feeling is
that maybe half of the ingredients of an AGI are things that were created
for other (usually narrow AI) purposes and can be used, not "off the shelf", but
with only moderate rather than severe modifications. The other half are
things that are certainly *related* to known science, but are unique to AGI,
without a significant use as "standalone" systems.
For
example, overall regulation of system attention (focus) is a big part of any AGI
system, and I don't think any non-AGI algorithms are ever going to be helpful
for solving the problem in an AGI context. (Novamente has its own way of
doing this, which does not draw on any narrow-AI or general-Cs methods except
loosely).
I note
that at least one famous AI guy -- Danny Hillis -- agrees with you though.
That's part of the reason he gave up on AI work. He figures AGI is "just a
lot of little things" and he's working on some of the little things now, not on
the big picture. Of course, this philosophy is probably why his company
Thinking Machines didn't have a coordinated AI research program, instead it
worked on a lot of different things using a common hardware
architecture...
-- Ben
G
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