compounding knowledge

  
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one way more easy would be to steam a large amount knowledge over complete discipline structure and categorize it on the smallest node . then we sort density and lower the scope to compute compounding by the factor the density map is large.

as more detailed the steaming becomes minimum for compounding (math formulas , corresponding arithmetic) the Categorizer has to adapt but we will have him well trained with the initial steam. all left to compounding is the hypothesis and experiment compatible with harvested formulas and arithmetic on a very small scope or adjustable by density.

:)