On 6/29/07, YKY (Yan King Yin) <[EMAIL PROTECTED]> wrote:


I've talked to John Weng many times before, and I found that his AGI has
some problems but he wasn't very eager to talk about them.  For example, it
could only recognize pre-trained objects (eg, a certain doll) but not
"general" object classes like "dolls", "cups" or "cars".

It seems intuitive that bottom-up approach is better at
generalization. HTM is much more sophisticated, conditional
probabilities, and the learning in context of sequences, must really
be helpful. (IHDR can have time-chunking but this is not that useful
at categorization.) It seems that the advantages of IHDR are limited
to quick learning and one-instance learning (HTM cannot do
one-instance learning, which is simple for IHDR). I'm not sure if HTM
could learn online.

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