AIXI says that a perfect solution is not computable. However, a very
general principle of both scientific research and machine learning is to
favor simple hypotheses over complex ones. AIXI justifies these practices
in a formal way. It also says we can stop looking for a universal
solution, which I think is important. It justifies our current ad-hoc
approach to problem solving -- we have no choice.
Excellent. Thank you. Another good point to be pinned (since a number of
people frequently go around and around on it).
Is there anything else that it tells us that is useful and not a
distraction?
- - - - - - - - - - - - - -
Also, since you invoked the two in the same sentence as if they were
different things . . . .
What is the distinction between scientific research and machine learning
(other than who performs it, of course). Or, re-phrased, what is the
difference between a machine doing scientific research and a machine that is
simply learning?
<I'd love to hear everybody chiming in on that last question>
----- Original Message -----
From: "Matt Mahoney" <[EMAIL PROTECTED]>
To: <agi@v2.listbox.com>
Sent: Friday, October 24, 2008 4:54 PM
Subject: Re: [agi] If your AGI can't learn to play chess it is no AGI
--- On Fri, 10/24/08, Mark Waser <[EMAIL PROTECTED]> wrote:
Cool. And you're saying that intelligence is not
computable. So why else
are we constantly invoking AIXI? Does it tell us anything
else about
general intelligence?
AIXI says that a perfect solution is not computable. However, a very
general principle of both scientific research and machine learning is to
favor simple hypotheses over complex ones. AIXI justifies these practices
in a formal way. It also says we can stop looking for a universal
solution, which I think is important. It justifies our current ad-hoc
approach to problem solving -- we have no choice.
-- Matt Mahoney, [EMAIL PROTECTED]
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agi
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