Ron, (01)
Since you didn't put an emoticon at the end of that comment,
I'll assume that you intended it to be taken seriously. (02)
RW
> Are you hinting that if we focus better and apply our brains more
> fully, we can get a higher level of understanding of ontology,
> one e-mail at a time? (03)
My primary "hint" is that engineers have always learned a lot
by studying solutions adopted by nature for related problems.
The Wright brothers, for example, learned how to control their
airplanes by studying how birds warped their wings. Their major
advance was in solving the problem of *control*, not power. (04)
For intelligence, neuroscientists are far from understanding the
detailed working of brains (human and animal), and AI researchers
are very far from simulating human abilities. They have learned
a lot from each other, but there is much more to be discovered. (05)
For example, insect brains accomplish an amazing level of intelligence
with a tiny amount of neural matter. They don't have eyes that flit
around to construct a larger scene from multiple smaller images.
Instead, they have compound eyes, which are correlated to form
whatever it is that insects "see". (06)
Furthermore, nobody knows how the brains of vertebrates relate
info from both eyes to info from the other senses. Perhaps the
_compressive sensing_ (CS) methods used for single-pixel cameras
are related to the methods used in the brains of humans *and*
insects. Using CS for single-pixel cameras was pioneered at
Rice University. See http://dsp.rice.edu/cs (07)
John (08)
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