I am working on a new version of a 3-SAT solver and I am starting to
see the problem in a different way then I have seen it before. It has
some similarities to a multiplication algorithm that I worked on 30
years ago. I can't tell if the Fast Fourier Transform would be useful
or not but it looks like a variation on the FFT might be interesting.
If I can intuitively understand how the FFT works then I might be able
to use it on the solver that I am currently working on. I was never
able to get the multiplication algorithm that I was working on 30
years ago to work the way I wanted it to but I always felt that there
was just one method missing. I tried some basic symmetry and that went
nowhere but perhaps it was an asymmetric symmetry. Even though that
sounds like an absurdity it isn't totally inane. As most of you know
symmetry can be combined with other effective compressions to produce
non-symmetric multiplicities which are strongly related on the initial
symmetry of the algorithm.

This is related to Successive Over Generalization-Under Generalization
Iterations and so it might have some uses in AGI.
Jim Bromer


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