I don't agree at all.

The ability to cope with narrow, closed, deterministic environments in an
isolated way is VERY DIFFERENT from the ability to cope with a more
open-ended, indeterminate environment like the one humans live in

Not everything that is a necessary capability of a completed human-level,
roughly human-like AGI, is a sensible "first step" toward a human-level,
roughly human-like AGI

I'm not saying that making a system that's able to learn chess is a **bad**
idea.   I am saying that I suspect it's not the best path to AGI.

I'm slightly more attracted to the General Gameplaying (GGP) Competition
than to a narrow-focus on chess

http://games.stanford.edu/

but not so much to that either...

I look at it this way.  I have a basic understanding of how a roughly
human-like AGI mind (with virtual embodiment and language facility) might
progress from the preschool level up through the university level, by
analogy to human cognitive development.

On the other hand, I do not have a very good understanding at all of how a
radically non-human-like AGI mind would progress from "learn to play chess"
level to the university level, or to the level of GGP, or robust
mathematical theorem-proving, etc.  If you have a good understanding of this
I'd love to hear it.

-- Ben G



On Wed, Oct 22, 2008 at 9:47 AM, Dr. Matthias Heger <[EMAIL PROTECTED]> wrote:

>  I agree that chess is far from sufficient for AGI. But I have mentioned
> this already at the beginning of this thread.
>
> The important role of chess for AGI could be to rule out bad AGI approaches
> as fast as possible.
>
>
>
> Before you go to more complex domains you should consider chess as a first
> important milestone which helps you not to go a long way towards a dead end
> with the wrong approach for AGI.
>
>
>
> If chess is so easy because it is completely described, complete
> information about state available, fully deterministic etc. then the more
> important it is that your AGI can learn such an easy task before you try
> something more difficult.
>
>
>
>
>
> -Matthias
>
>
>
>
>
>  Derek Zahn [mailto:[EMAIL PROTECTED] wrote
>
>  I would agree with this and also with your thesis that a true AGI must be
> able to learn chess in this way.  However, although this ability is
> necessary it is far from sufficient for AGI, and thinking about AGI from
> this very narrow perspective seems to me to be a poor way to attack the
> problem.  Very few of the things an AGI must be able to do (as the Heinlein
> quote points out) are similar to chess -- completely described, complete
> information about state available, fully deterministic.  If you aim at chess
> you might hit chess but there's no reason that you will achieve anything
> higher.
>
> Still, using chess as a test case may not be useless; a system that
> produces a convincing story about concept formation in the chess domain
> (that is, that invents concepts for pinning, pawn chains, speculative
> sacrifices in exchange for piece mobility, zugzwang, and so on without an
> identifiable bias toward these things) would at least be interesting to
> those interested in AGI.
>
> Mathematics, though, is interesting in other ways.  I don't believe that
> much of mathematics involves the logical transformations performed in proof
> steps.  A system that invents new fields of mathematics, new terms, new
> mathematical "ideas" -- that is truly interesting.  Inference control is
> boring, but inventing mathematical induction, complex numbers, or ring
> theory -- THAT is AGI-worthy.
>
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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[EMAIL PROTECTED]

"A human being should be able to change a diaper, plan an invasion, butcher
a hog, conn a ship, design a building, write a sonnet, balance accounts,
build a wall, set a bone, comfort the dying, take orders, give orders,
cooperate, act alone, solve equations, analyze a new problem, pitch manure,
program a computer, cook a tasty meal, fight efficiently, die gallantly.
Specialization is for insects."  -- Robert Heinlein



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