corresponding to the automatic stage mentioned above
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we suggest that one may view the development
to the systems theory of development in general.
then introducing some modifications and extensions
stating that shorter paths may be found through the composite
stating that on the whole intelligent minds
would be an exploration of real-world environments in terms
aside from (and potentially building on)
to maximize the system’s intelligence in the environments
given a specific AGI design (such as CogPrime)
which doesn’t really contain all the needed concepts.
because it tries to use only commonlanguage
at least in the cases of transition-sequences leading to
the mind-world path transfer function is a goal-weighted approximate
because it requires us to introduce a geometric structure on our categories. But there
defined with averaging relative to a distribution
and I will define a goal-weighted approximate
and looking at the highest-weight path spanning M(nodes(P )). (Here nodes?
and the morphisms of the category are the paths.
we are constructing the free category associated with the graph: