Hi,

I don't have an opinion on whether continuous vector/scalar data is
important to AGI or not.  It's not necessary in principle; how valuable it
is pragmatically as a learning domain, I'm not sure.

As I pointed out in my replies to Peter, where he says "vector clustering"
and "vector similarity" are critical to mind, I simply say "clustering" and
"similarity measurement" are critical to mind ... and in Novamente, in fact,
these things are carried out thru generic mechanisms that apply equally well
to continuous (vector/scalar) or discrete (boolean) information...

Definitely, feelings, goals and motivations are critical to AGI.  That is an
aspect of AGI that we call the "psyche" module, and it requires very little
novel code, it's basically a flexible control structure that utilizes more
basic cognitive processes...

-- Ben G

> -----Original Message-----
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]]On
> Behalf Of Kevin Copple
> Sent: Tuesday, December 10, 2002 12:58 AM
> To: [EMAIL PROTECTED]
> Subject: [agi] Grounding
>
>
> Okay, I am bored, or maybe just lazy today, so please let me weigh in and
> ramble a bit:
>
> Vectors and scalars are great, and may be the best route to learning for a
> given system, but it hardly seems obvious that they are a prerequisite to
> learning for an AI that exceeds general human intellectual
> capacity.  I was
> a chemical engineer in one of my former lives, and I can say that vectors
> are definitely more lovable than the criminal defendants I was
> appointed to
> represent in my former life as an attorney.  The defendants were mostly
> interested in the rather binary guilty vs. not guilty.
>
> Retinas have pixels don't they?  Perhaps our perception of scalars is
> actually recognition of patterns in discrete points.  You could
> readily make
> an image people recognize as a circle, using only pawns as discrete points
> on a chessboard.
>
> Wouldn't chess be a domain where an AGI could learn and excel, with no
> vectors or scalars in sight?  Much of what is fundamental is
> binary: on/off,
> dead/alive, male/female, married/single, smile/frown, and so on.
>
> A miss is a good as a mile.
>
>  . . . Kevin C.
>
> P.S. To me a key fundamental is "Artificial Motivation."  Give an
> entity the
> desire to accomplish goals, plus tools to use, then the ability to learn.
>
> Example:  I was hungry, but now am full.  I wanted to reproduce, and
> satisfied that urge.  Now I am tired of thinking, and want to consume more
> of that wet fermented grain to stop the process for a while.  Ahh,
> cultivating barely to make beer is good.  Oops, inadvertently founded
> civilization.
>
> -------
> To unsubscribe, change your address, or temporarily deactivate
> your subscription,
> please go to http://v2.listbox.com/member/?[EMAIL PROTECTED]
>

-------
To unsubscribe, change your address, or temporarily deactivate your subscription, 
please go to http://v2.listbox.com/member/?[EMAIL PROTECTED]

Reply via email to