lol. thanks Jim :)

On Thu, Jul 22, 2010 at 10:08 PM, Jim Bromer <jimbro...@gmail.com> wrote:

> I have to say that I am proud of David Jone's efforts.  He has really
> matured during these last few months.  I'm kidding but I really do respect
> the fact that he is actively experimenting.  I want to get back to work on
> my artificial imagination and image analysis programs - if I can ever figure
> out how to get the time.
>
> As I have read David's comments, I realize that we need to really leverage
> all sorts of cruddy data in order to make good agi.  But since that kind of
> thing doesn't work with sparse knowledge, it seems that the only way it
> could work is with extensive knowledge about a wide range of situations,
> like the knowledge gained from a vast variety of experiences.  This
> conjecture makes some sense because if wide ranging knowledge could be kept
> in superficial stores where it could be accessed quickly and economically,
> it could be used efficiently in (conceptual) model fitting.  However, as
> knowledge becomes too extensive it might become too unwieldy to find what is
> needed for a particular situation.  At this point indexing becomes necessary
> with cross-indexing references to different knowledge based on similarities
> and commonalities of employment.
>
> Here I am saying that relevant knowledge based on previous learning might
> not have to be totally relevant to a situation as long as it could be used
> to run during an ongoing situation.  From this perspective
> then, knowledge from a wide variety of experiences should actually be
> composed of reactions on different conceptual levels.  Then as a piece of
> knowledge is brought into play for an ongoing situation, those levels that
> seem best suited to deal with the situation could be promoted quickly as the
> situation unfolds, acting like an automated indexing system into other
> knowledge relevant to the situation.  So the ongoing process of trying to
> determine what is going on and what actions should be made would
> simultaneously act like an automated index to find better knowledge more
> suited for the situation.
> Jim Bromer
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