On 6/15/2011 6:56 AM, Bruno Marchal wrote:
Doesn't this objection only apply to attempts to construct an AI with
human-equivalent intelligence? As a counter example I'm thinking here
of Ben Goertzel's OpenCog, an attempt at artificial general
intelligence (AGI), whose design is informed by a theory of
intelligence that does not attempt to mirror or model human
intelligence. In light of the "Benacerraf principle", isn't it
possible in principle to provably construct AIs so long as we're not
trying to emulate or model human intelligence?
I think that comp might imply that simple virgin (non programmed)
universal (and immaterial) machine are already conscious. Perhaps even
maximally conscious. Then adding induction gives them Löbianity, and
this makes them self-conscious (which might already be a delusion of
some sort). Unfortunately the hard task is to interface such
(self)-consciousness with our probable realities (computational
histories). This is what we can hardly be sure about.
I still don't know if the brain is just a filter of consciousness, in
which case losing neurons might enhance consciousness (and some data
in neurophysiology might confirm this). I think Goertzel is more
creating a competent machine than an intelligent one, from what I have
read about it. I oppose intelligence/consciousness and
competence/ingenuity. The first is needed to develop the later, but
the later has a negative feedback on the first.
Bruno
There is a tendency to talk about "human-equivalent intelligence" or
"human level intelligence" as an ultimate goal. Human intelligence
evolved to enhance certain functions: cooperation, seduction,
bargaining, deduction,... There's no reason to suppose it is the
epitome of intelligence. Intelligence may take many forms, some of which
we would have difficulty realizing or crediting. Like a universal
machine that is not programmed, which by one measure is maximally
intelligent but also maximally incompetent. Even in humans intelligence
is far from one-dimensional. A small child is extremely intelligent as
measured by the ability to learn, but not very smart as measured by
knowledge.
Brent
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