Pei,
I don't think these distinctions between terms really matter in the final
analysis - "right," "optimal" etc. What I'm assuming, however you define it,
is that you are saying that AI can find one solution that is better than
others under conditions of "insufficient knowledge"/uncertainty - and that
your, Pei's, system is set up to find one answer for problems involving
uncertainty (even the system has first to learn how to find it)..
And that's what I'm arguing against - that's what I'm saying is
fundamentally flawed. There isn't one answer for such problems, there are
potentially many, and you can't be sure which is best or better, or indeed
very often whether any will work at atll. There isn't one way to invest for
example. And any intelligence that can only handle problems closed-endedly
as opposed to open-endedly, isn't a truly adaptive intelligence at all, even
if it may appear that way superficially, and simply won't work.
Science certainly is caught in the contradiction I have outlined. A great
number of thinkers are caught in that contradiction. As far as I can see you
are too.
Under any circumstances, I still invite you to outline your approach to the
investment problem I set. It is an absolutely central problem for AGI. How
yours or any AGI will deal with such problems - real, real-world problems -
is surely one of the most central things we should be discussing - the most
important issue of all.
But, from experience, I know that you guys are very unlikely to respond when
put to the test - so if you don't want to, I will not persist here.
Mike,
With insufficient knowledge and resources, a system cannot get answers
that are ABSOLUTELY correct and optimal (with respect to the problem
only), but can still get answers that are RELATIVELY correct (with
respect to available knowledge) and optimal (with respect to available
resources). BEST was used in this sense in my previous message.
In a sense, the whole field of "reasoning under uncertainty" is about
"finding certainty in handling uncertainty", and the whole field of
"decision making" is about "find the best answer when the right answer
is unknown". There is no contradiction, but different levels of
descriptions.
Pei
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