Ben Goertzel wrote:
I wouldn't agree with such a strong statement. I think the grounding
of ratiocination in image-ination is characteristic of human
intelligence, and must thus be characteristic of any highly human-like
intelligent system ... but, I don't see any reason to believe it's the
ONLY path
Yes, you are correct that it is not the only path. However, the
requirement perceptual grounding depends on the definition of intelligence.
If you want to make a mathematical intelligence, you do not need it. But
if you want to build some life-extension technologies and nanobots,
perceptual grounding is needed to build these nanobots. You would
require visual intelligence to build these nanobots. Replacing human
physical labor would also require visual-motor coordination. It is
impossible to bootstrap perceptual grounding from a purely symbolic AGI.
It does not know how to build 3D robots.
Purely symbolic ontologies can produce unsatisfying results. The
categorization of objects are arbitrarily assigned by humans via their
perception. It would cause conflict and roundaboutness. If the AI goes
through long chains of deductive inference, the result would be
inaccurate because small errors and ambiguities in the categorization of
symbols would magnify and produce huge errors.
Probabilistic reasoning is an improvement, but it would ultimately
produce inaccurate results and errors just as the same.
Thus, the AI engine needs perceptual grounding to "refresh" or "prune"
the illogical inferences.
Furthermore, symbolic ontologies are /inductive/ and perceptual
reasoning is /deductive/. Symbolic ontologies are inductive because
categorization inevitably raises ambiguities. Perceptual reasoning,
however, is deductive because it is not categorized arbitrarily and is
global and continuous.
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agi
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