which states that the activity of the different cognitive processes involved
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the different learning mechanisms must be designed
given the lack of intrinsic constraint that comes along with a “general intelligence”
and the algorithms are unable to filter through all the
at the cost of some loss of information. The synergy between cognitive processes
then the practical consequence for AGI development
but is rather intrinsic to the subject matter. And if these notions are correct
nor due to the primitive state of the AGI
then this difficulty is not due to incompetence or lack
only made some qualitative arguments. However
any test is going to be more easily solved by some simpler narrow AI process
the difficulty of formulating tests for intermediate progress
if tricky cognitive synergy really holds up as a property of
tends to require more work than preparing a conceptually
in the sense that tailoring an AI process for tight integration with
since to serve as a component of a synergetic AGI
we'll call it tricky cognitive synergy. The tricky cognitive synergy hypothesis
but works much better for the task than this subset of 6 components
we’ll stick with the ""10 components"" example
but here we’re only aiming for a qualitative