On Dec 26, 2008, at 6:18 PM, Ben Goertzel wrote:
Most compression tests are like defining intelligence as the
ability to catch mice. They measure the ability of compressors to
compress specific files. This tends to lead to hacks that are tuned
to the benchmarks. For the generic intelligence test, all you know
about the source is that it has a Solomonoff distribution (for a
particular machine). I don't know how you could make the test any
more generic.
IMO the test is *too* generic ... I don't think real-world AGI is
mainly about being able to recognize totally general patterns in
totally general datasets. I suspect that to do that, the best
approach is ultimately going to be some AIXItl variant ... meaning
it's a problem that's not really solvable using a real-world amount
of resources. I suspect that all the AGI system one can really
build are SO BAD at this general problem, that it's better to
characterize AGI systems
An interesting question is which pattern subset if ignored would make
the problem tractable.
J. Andrew Rogers
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agi
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