Mike Tintner wrote:
Charles,
I don't see - no doubt being too stupid - how what you are saying is
going to make a categorizer into more than that - into a system that
can, say, go on to learn various logic's, or how to build a house or
other structures or tell a story - that can be a *general* intelligence.
I wouldn't say you were being stupid. Nobody knows how to build an AGI
yet. And I'm envisioning the current system of NARS as only a
component, albeit an important component. (I don't know how Pei Wang is
envisioning it.)
But if you study the input system from the eye (overview...I have no
detailed knowledge), you discover that the initial sensory stimuli are
split into several streams that are processed separately (possibly
categorized) and then recombined. Sometimes something very important
will jump out of the system, however, and cause rapid reactions that the
consciousness never becomes aware of noticing before acting on. (N.B.:
This "being aware of before acting on" is often-to-usually an
hallucination.)
Clearly some categorizer has noticed that something was VERY important.
As such, apparently some kind of categorizer is very important. My
suspicion is that most categorizers work with small databases in
restricted domains, acting as black-box functions...though function
isn't the right word for something that can return multiple results.
What struck me about the overall discussion of NARS' logical
capabilities, firstly, was that they all depended - & I think you may
have made this point - on everyone's *common sense* interpretations of
inheritance and other relations and the logic generally. In other
words, any logic is - and always will be - a very *secondary* sign
system for both representing and reasoning about the world. It is a
highly evolved derivative of more basic, common sense systems in the
brain - and, like language itself, has continually to be "made sense
of" by the brain. (That's why I would suspect that all of you, however
versed in logic you are, will, while looking at those logical
propositions, go fuzzy from time to time - when your brain can't for a
while literally make sense of them).
A hierarchy of abstract/ concrete sign systems, grounded in the
senses, is - I believe - essential for any AGI and general learning -
and, NARS, AFAICT, lacks that.
Secondly, I don't see how what you are saying will give NARS the
ability to *create* new rules and strategies for its activities, (that
are not derived from existing rules). AFAICT it simply applies logic
and follows rules, even though they include rules for modifying rules.
It cannot, like Pei or Bayes have done, create or fundamentally extend
logics. If so, it is still narrow AI, not AGI.
(There is, I repeat, a major need for a philosophical distinction
between AI and AGI - in talking about the area of the last paragraph,
I think we all flounder and grope for terms).
Mike Tintner wrote:
Charles H:as I understand it, this still wouldn't be an AGI, but
merely a
categorizer.
That's my understanding too. There does seem to be a general problem
in the field of AGI, distinguishing AGI from narrow AI -
philosophically. In fact, I don't think I've seen any definition of
AGI or intelligence that does.
But *do* notice that the terminal nodes are uninterpreted. This
means that they could be assigned, e.g., procedural values.
Because of this, even though the current design (as I understand it)
of NARS is purely a categorizer, it's not limited in what it's
extensions and embedding environment can be. It would be a trivial
extension to allow terminal nodes to have a type, and that what was
done when a terminal node was generated could depend upon that type.
(There's a paper called "wang.roadmap.pdf" that I *must* get around
to reading!)
P.S.: In the paper on computations it seems to me that items of high
durability should not be dropped from the processing queue even if it
becomes full of higher priority tasks. There should probably be a
"postponed tasks" location where things like garbage collection and
database sanity checking and repair can be saved to be done during
future idle times.
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