From: Xavier Lumine (dmyshkin@hotmail.com)
Date: Thu Oct 25 2001 - 12:07:11 MDT
That's a specialized problem a computer could be taught how to do fairly
easily and is an example of Classical AI (i.e. the "wrong" path). I'm fairly
sure teaching a computer to do this kind of analysis is not a good
indication of human intelligence.
>From: Gordon Worley <redbird@rbisland.cx>
>Reply-To: sl4@sysopmind.com
>To: sl4@sysopmind.com
>Subject: Thoughts on AI testing
>Date: Wed, 24 Oct 2001 19:37:04 -0400
>
>A while back there was a short thread about how to test how
>smart/intelligent AIs are. A number of interesting ideas came out of
>this and suddenly, about an hour ago while sitting in my Statistics
>II class, I realized a great way to test if an AI is of human level
>intelligence: if it can choose the correct statistical method with
>which to analyze data (computers are already exceedingly good at
>doing the analysis and make certain analyses possible that humans
>couldn't reasonably do on their own). In order to do this, one must
>understand the content of the problem (what the numbers mean), the
>nature of the data (qualitative or quantitative; parametric or
>nonparametric, etc.), and what kind of results are expected (there's
>more going on, but the other understandings could be seen as
>subunderstandings of those I listed). This means the AI must be able
>to read some kind of language, understand what it means, and have the
>heuristics to take the information ve is given and make the right
>choices about tests.
>
>Personally, I've never been a huge fan of the Turing Test, but this
>seems like a good alternative that requires the same kinds of skills,
>just in a different domain.
>--
>Gordon Worley `When I use a word,' Humpty Dumpty
>http://www.rbisland.cx/ said, `it means just what I choose
>redbird@rbisland.cx it to mean--neither more nor less.'
>PGP: 0xBBD3B003 --Lewis Carroll
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