Robert/Ben:. In fact. I would suggest that AGI researchers start to
distinguish
themselves from narrow AGI by replacing the over ambiguous concepts from
AI,
one by one. For example:
knowledge representation = world model.
learning = world model creation
reasoning = world model simulation
goal = life goal (to indicate that we have the ambition of building
something really alive)
If we say something like "world model creation", it seems pretty obvious
that we do not mean anything like just tweaking a few bits in some
function.
Yet, those terms are used for quite shallow things in many Good Old
Fashioned
robotics architectures ;-)
IMO there is one key & in fact crucial distinction between AI & AGI - which
hinges on "adaptivity".
An AI program has "special(ised) adaptivity" -can adapt its actions but only
within a known domain
An AGI has "general adaptivity"- can also adapt its actions to deal with
unknown, unfamiliar domains.
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agi
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