I need to start with something so simple that I get to it and report on it.
A simple AGI program could be programmed to be able to learn to detect those
responses that indicate right and wrong and to learn that it can act in ways
which may elicit particular (kinds of) human responses. (This does not have to
be perfect.)
From there it may be able to derive the awareness that some interactions with
humans are intended to announce that certain references should be (or could be)
used with certain behaviors in a way based on previous experiences it had with
the human user.
Situations that may be very complex for a child may sometimes be dealt with by
choosing some sequence of processes that it had used in simpler circumstances.
Similarly, a simple AGI program might be designed so that it makes an attempt
to solve complicated situations by trying different sequences of methods which
worked separately in simple situations. Then, as it has some success with more
complicated situations, it can use those methods that worked with complicated
situations as well. One of the key actions has to be based on the awareness
that this complicated behavior must rely on a combination of declarative
knowledge and on procedural knowledge. So it has to have to have a potential
to ‘think’ about how it might use both declarative knowledge and procedural
knowledge to learn something.
My point is that a simple initial feasibility test may be designed around this
format as a means of designing a way for a computer program to learn direction
from a human user so that it can further discover interesting ways to acquire
structured knowledge without that direction being reduced to some inflexible
programming instructions or tending toward a steady state of program-like
specificity. So it can acquire very specific kinds of knowledge and insights
about how it can ‘act’ to learn more (or otherwise work with knowledge) without
forgoing all potential for individual creativity. Initial ‘reinforcement’
does not have to lead to canned responses.
Jim Bromer
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AGI
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