I became annoyed about the discussion of a computational model which
was called non-algorithmic, but then I started thinking of one of my
pet ideas, asymmetric symmetry. A derivation taken from some kinds of
initial systems may exhibit a great deal of symmetry. The symmetry of
the derived system may be somewhat abstruse or abstract.  But if the
parts of the initial state of the system are then changed, (imagine
points that are moved or deleted) then the symmetry of the derived
system may be skewed past recognizable form. What I am trying to say
is that the output of methods which gained efficiency or traction due
to the abstract symmetry of the derivation methods (acting on the
right kind of initial system) may still be found by assuming that
symmetry exists in some hidden (or more hidden) form for the modified
initial state.

So even though the term, "Asymmetric Symmetry" may look like a dim
contradiction of terms, it can describe a valuable way to look at
certain kinds of systems.
Jim Bromer


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AGI
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