Boris,
I am interested in how your compression scheme works.

I am talking about my own theories now, please try to remain calm: I think
that it is important to be able to store or to find the data that
represents the basis of a concept or grouping of related concepts in order
to resolve some issues that will become apparent as the AGI program learns
about the concept or as it relates it to other concepts.  However, the
program will not be able to store all input that it is exposed to, and this
basis has to be derived from, or represent, a collection of variations on
the primary subject, so for those reasons the concept has to be composed of
generalizations and variations.

Are you thinking of storing representations of all primitives that would be
used by your program (raw sensory data) so that comparisons might be later
made against some of them?  Or are the compressions going to be taken from
generalizations of the variations of sensory data that commonly represent a
particular event to be gauged?

Are comparisons going to be made against partial decompressions of
previously compressed representations?

You don't have to continue if you don't want to, however, I am curious
about what you are talking about.

Jim Bromer



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