Hi Ben,
A good bunch of papers.
(1) Hales, C. 'An empirical framework for objective testing for
P-consciousness in an artificial agent', The Open Artificial
Intelligence Journal vol.? , 2008.
Apparently it has been accepted but I'll believe it when I see it.
It's highly relevant to the forum you mentioned. I was particularly
interested in the Wray and Lebiere work... my paper (1) would hold that
the problem in their statement Taskability is difficult to measure
because there is no absolute notion of taskability -- a particular
quantitative measure for one domain might represent the best one could
achieve, while in another, it might be a baseline is solved. An
incidental byproduct of the execution of the test is that all the other
metrics in their paper are delivered to some extent. Computationalist AI
subjects will fail the (1) test. Humans won't. A real AGI will pass.
Testing has been a big issue for me and has taken quite a while to sort
out. Peter Voss's AI will fail it. As will everything based on NUMENTA
products.but they can try!.the test can speak for itself. Objective
measurement of outward agent behaviour is decisive. All contenders have
the same demands made of them...the only requirement is that verifiably
autonomous, embodied agents only need apply.
I don't know if this is of interest to anyone, but I thought I'd mention it.
regards,
Colin
Ben Goertzel wrote:
Hi all,
In preparation for an upcoming (invitation-only, not-organized-by-me)
workshop on Evaluation and Metrics for Human-Level AI systems, I
concatenated a number of papers on the evaluation of AGI systems into
a single PDF file (in which the readings are listed alphabetically in
order of file name).
In case anyone else finds this interesting, you can download the
single PDF file from
http://goertzel.org/AGI_Evaluation.pdf
It's 196 pages of text I don't condone all the ideas in all the
papers, nor necessarily consider all the papers incredibly fascinating
... but it's a decent sampling of historical thinking in the area by a
certain subclass of AGI-ish academics...
ben
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