On this issue, we can distinguish 4 approaches:

(1) let symbols get their meaning through "interpretation" (provided in
another language) --- this is the approach used in traditional symbolic AI.

(2) let symbols get their meaning by grounding on textual experience ---
this is what I and Kevin suggested.

(3) let symbols get their meaning by grounding on simplified perceptual
experience  --- this is what Ben and Shane suggested.

(4) let symbols get their meaning by grounding on human-level perceptual
experience --- this is what Brooks (the robotics researcher at MIT) and
Harnad (who raised the "symbol grounding" issue in the first place)
proposed.

My opinion is: in principle, the approach (1) doesn't work well for AI,
while the last 3 approaches are in the same category.  Of course, the richer
the experience is, the more capable the system will be.  However, to
actually develop an AGI theory/system, I'd rather start with (2), and leave
(3) for the next step, and (4) for the future.   Therefore, though I
basically agree with what Ben and Shane said, I won't do that in NARS very
soon.

Pei

----- Original Message -----
From: "Shane Legg" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Monday, December 09, 2002 9:44 PM
Subject: Re: [agi] AI on TV


>
> I think my position is similar to Ben's; it's not really what you
> ground things in, but rather that you don't expose your limited
> little computer brain to an environment that is too complex --
> at least not to start with.  Language, even reasonably simple
> context free languages, could well be too rich for a baby AI.
> Trying to process 3D input is far too complex.  Better then to
> start with something simple like 2D pixel patterns as Ben suggests.
> The A2I2 project by Peter Voss is taking a similar approach.
>
> Once very simple concepts and relations have been formed at this
> level then I would expect an AI to be better able to start dealing
> with richer things like basic language using what it learned
> previously as a starting point.  For example, relating simple
> patterns of language that have an immediate and direct relation
> to the visual environment to start with and slowly building up
> from there.
>
> Shane
>
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