On Feb 19, 2007, at 3:23 PM, J. Storrs Hall, PhD. wrote:
On Monday 19 February 2007 16:08, Ben Goertzel wrote:
It's pretty clear that humans don't
run FOPC as a native code, but that we can learn it as a trick.
I disagree. I think that Hebbian learning between cortical
columns is
essentially equivalent to basic probabilistic
term logic.
That's a tantalizing hint (not that I haven't been floating a few
of my
own :-). I tend to think of my n-D spaces as representing what a
column
does... CSG is exactly propositional logic if you think of each
point as a
proposition. It's the mappings between spaces that are the tricky
part and
give you the equivalent power of predicates, but not in just that
form.
Cortical columns, eh? Blind monkeys describing the elephant in the
room.
It is at least as obvious that cortical columns are nothing more than
functional computing elements implemented using bucket brigade logic,
not that anyone remembers "digilog" computers anymore. And by
"functional computing element" I refer you to any one of the
computational models based on function composition that can be
implemented on extremely primitive LIFOs and FIFOs, which only get
more expressive and smarter when many of them are utilized in
parallel. However, I suspect this theory is insufficiently exotic to
be explanatory. You can implement whole gangs of them on silicon
too, but you need memory local to the computing elements to feed
them. [...pertinent details elided...]
(Yes, I know this is a response to a few month old email, but I
barely have time to read my essential email never mind the non-
essential stuff.)
J. Andrew Rogers
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