But, what I would say in response to you is: If you presume a **bad**
KR format, you can't match it with a learning mechanism that reliably
fills one's knowledge repository with knowledge...
If you presume a sufficiently and appropriately flexible KR format
(which is then really more of a meta-format), then it can reformat
itself adaptively based on the knowledge that comes in, as part of the
learning process ;-)
No, there's a sense in which Richard (if I understand him correctly) is right. I'm impressed, incidentally - I haven't seen a lot of other people appreciate this; I didn't myself until maybe a year ago. You can't just take a generic KR format that was designed without the idea that it has to primarily deal with a 4D world, and plug in 4D sensors and expect it to reformat itself. That won't work, not well enough anyway. The 4D thing has to be part of the design from the ground up. (That's what I meant in my earlier post when I said I had the impression you were heading in the right direction but still weren't taking the grounding issue quite seriously enough.) I'm still fumbling with vague outlines of _how_ to do it (which is one reason I said I don't have something coherent enough to write up), but you do have to do it.
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