If meta-data can be used to invoke rules, and rules (systems of rules
and conditional data) can be learned or acquired (perhaps implicitly)
then the program would have to have a way to govern the actions the
program might take. One way might be through the use of goals. But I
would want my program to be able to derive or develop some of its own
goals. We could also use the 'direction' the program was taking on
some task to govern its use of resources on the task. It could at
least watch how much time and resources it was using and if it was
repeating any subsection over. (That is a complexity problem when
taken to an extreme but a simple watching for repetitions or a sample
driven repeat monitoring is feasible.) So there would have to be some
kind of resource monitoring going on too. This is starting to get a
little complicated but not so complicated that it could not be worked
out for a simple very artificial demonstration.
Jim Bromer


On Fri, Dec 4, 2015 at 1:08 PM, Jim Bromer <[email protected]> wrote:
> On Thu, Dec 3, 2015 at 10:08 PM, Stanley Nilsen <[email protected]> 
> wrote:>
>> ...one technique of the AGI might be to "find"
>> through the process of submitting requests through a mailing list. e.g.
>> "what meta-data will help me figure out what to do with a rule?"
>> Stan
>
> I think that this could be an interesting topic.  However, I think you
> have to recognize that 'rules' have to be acquirable just like facts
> and factoids. And if you are going to rely on Meta-Data then how would
> Meta-Data be implemented, and how might it be acquired and derived.


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