From: Mikko Särelä (msarela@cc.hut.fi)
Date: Fri Sep 09 2005 - 04:09:37 MDT
On Thu, 8 Sep 2005, Ben Goertzel wrote:
> Once I have a hypothesis, probabilistic inference (including Bayes rule) is
> useful for estimating its truth value.
>
> But what about hypothesis formation? The space of possible hypotheses is
> very large. Most of AI is devoted to search techniques for searching
> hypothesis space, and these techniques suck in an AGI context.
>
> An AGI needs a concept/hypothesis formation approach that plays well with
> probabilistic inference, but I have never seen an adequate
> concept/hypothesis formation method that's based solely on probabilistic
> concepts. Do you have one that you'd care to discuss?
Have you looked at independent component analysis?
It's not something I really know, but am acquainted with because my
brother does research on that field. It would seem to be capable of
hypothesis formation out of 'pure' data. I could be mistaken, though.
--
Mikko Särelä
"I find that good security people are D&D players"
- Bruce Schneier
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