Greetings Jim.
my reaction to a couple statements contained below -
On 09/14/2012 08:06 AM, Jim Bromer wrote:
I was wondering if a simple system of reason based reasoning could be
used to start an expanding system of knowledge acquisition. I am not
talking about a human-level AGI program. I am talking about a very
simple, very artificial system to test the viability and the flexibility
of the reason-based reasoning strategy for general learning.
stan: I like the beginning line, especially the word "simple." A
bootstrap kind of program is exactly what is needed.
To stick with the simple description, I would avoid the word "reason"
and put in "rule." e.g. can a simple rule based system start an
expanding system - expanding by virtue of it's acquiring facts and
rules. More about this below.
Reason-based reasoning is just a strategy in which analysis and response
to a situation is based on reasons which the AGI program can access.
rules no?
> .... <section removed >
So my question is whether or not reason-based reasoning can be used
effectively in a simplistic system to enable the program to make good
reactions based on what it had learned. But I do not fully understand
how human beings are able to adeptly recognize and react to complicated
situations.
stan: Would it be fair to rephrase this question? Something like " can
one build a simple rule based system that will make good choices based
on rules and facts it has acquired?"
If so, it seems obvious that the system can only operate on rules and
facts acquired.
The bigger question is can the system take a fact or rule gathered from
it's experience in the environment and place it where it's rule
processor finds it at the right time? What are the rules that tell the
system how to utilize this 'mined' knowledge?
simple huh?
Analysis and reactions do not only act on some form of output. They can
govern the analysis and reaction modes as well.
stan: True, the "output" could simply be a state change in the
analyzer. This often is the case when writing a program - branch on a
condition...
... portions removed
One problem that I do not completely understand is how concepts are
integrated. Reason-based reasoning will help but it does not explain
everything. I am thinking about starting with a primitive artificial
language to make the program work a little like a programming method.
However, with reason-based reasoning that is able to act on recognition
and reaction methods there is no reason why I could not experiment with
language acquisition.
stan: If the goal is to understand how concepts are integrated, put on
the designer hat and say "how would I design a system that can integrate
concepts?" What do the players look like?
"Concepts" is a bit nebulous to me. More concrete might be something
like " how are rules and facts integrated in the system I am designing?"
take care...
Stan
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AGI
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