Mark Waser wrote
>>>>>
Must it be able to *discover* regularities or must it be able to be taught
and subsequently effectively use regularities?  I would argue the latter. 
(Can we get a show of hands of those who believe the former?  I think that
it's a small minority but . . . ) <<<<<<<<

If AGI means the ability to solve a general set of problems in a general set
of domains and if AGI shall compete with human intelligence then
*definitely* AGI must be able to *discover* regularities alone without a
teacher. 

>>>>>>>>>>>
Failure is an interesting evaluation.  Ben's made it quite clear that
advanced science is a domain that stupid (if not non-exceptional) humans
fail at.  Does that mean that most humans aren't general intelligences?
<<<<<<<<<<<

Intelligence is not a binary value. And general intelligence is not binary
as well.
I am sure that most people have limitations that they can never be a
professional scientist. It is similar to running. Nearly everyone can run
but only a few people have a chance to run the marathon under 2:30h If you
define the ability to be a scientist as a necessary condition for AGI, then
indeed, I would say most people aren't general intelligences.

>>>>>>>
Chess is a good milestone because of it's very difficulty.  The reason why
human's learn chess so easily (and that is a relative term) is because they
already have an excellent spatial domain model in place, a ton of strategy
knowledge available from other learned domains, and the immense array of
mental tools that we're going to need to bootstrap an AI.  Chess as a GI
task (or, via a GI approach) is emphatically NOT easily programmable.
<<<<<<<

Chess as an *environment* to test AGI is easily programmable.
I suggest that strategy knowledge from other domains is of no relevance.
It is mainly visual knowledge. If you would give a human a binary string
representation of the chessboard and the positions of the chess pieces the
human would have huge problem to recognize which moves are possible. The
quality of his chess depends obviously on the visual representation of the
chess situation.

- Matthias



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