Co operation is impossible because people have different ideas about how it
should be done and as problems are noticed (management for example), the
tasks that need to be done become diversified in a non-focused way. So we
are now talking about managing people. I could turn this back to the
essence of what we were talking about before by mentioning the programmed
management that would be needed for a complicated AGI program. I think
relatively simple guidelines about abstractions could be easily automated.
So if my theory about abstraction is valid, then they could lead to some
simple programming design that would incorporate them. But the problem is
that the design I have in mind would not (for example) run as a neural
network. Continuing with refocusing your ideas about management back onto a
discussion about programming AGI (as if you were subconsciously talking
about programming rather than managing programmers) I would point out that
most AGI paradigms do not produce results that can be efficiently used by
competing paradigms. So there would be a serious management issue there.
For example a neural network cannot be examined (by the program) in order
(for the program) to determine what abstractions it had used to come to a
conclusion. A weighted graph (a probability network) should be better at
this but here the problem is that the stages of the process have to be
saved in order for an advancement like this to work. The efficiency the
method would then be lost because it would become memory exhaustive. If a
system incorporated (more) discrete abstractions a trace of a decision
process could be made based on the abstracting principles that were
discovered to be useful to examine the process. (This is a function of
meta-analysis or meta-awareness.)

Management of people is largely based on a predetermination that some
focused goals are reasonable. Even if creativity is emphasized, the push is
to creatively solve the narrow tasks that you are assigned. As the
workers are given more autonomy to reach for a relatively more general
goal, the coordination of the methodologies and goals will be lost.



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AGI
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