"The idea of putting a baby AI in a simulated world where it might learn
cognitive skills is appealing.  But I suspect that it will take a huge
number of iterations for the baby AI to learn the needed lessons in that
situation"

This is definitely a serious consideration  - one way to overcome this might
be the inclusion of innate behaviors that steer the new mind towards
activities/actions that engender cognitive and emotional development.
Babies instinctively look at faces, reach for objects, and track moving
things w/ their eyes and eventually head and neck.

An AI's innate behaviors could have a built in reward structure, where, for
example, succesfully tracking a ball rolled across the simulated "floor"
would reinforce the neural network patterns that produced the desired
behavior.

On a related note, what is the nature of pleasure(reward)?  is it simply the
sensation that occurs b/c of the neural activity/reorganization that occurs
when needs are fulfilled or tasks completed successfully?  If so, does
pleasure correlate to increases in neural efficiency?  Neurons and the
networks they make up require a certain amount of reinforcement to maintain
normal functioning (this is a fact, though I wish I had a reference handy to
back up that assertion :).  I'm guessing that pleasure is caused when
reinforcement levels rise above their recent average.  This would account
for the fact that a) practising or doing something you like is pleasurable
b) pleasure is relative to circumstance, and c) all forms of pleasure seem
to be built upon the same core sensation.  IMO this is important because it
takes chemical effects out of the emotion equation, ie chemicals cause
pleasure by activating existing reinforcement mechanisms.  If I'm right,
emotions are (at their most basic level) nothing but patterns in the
activity of neural network type system, which we "feel" b/c we 'are' the
system's activity, not the system itself...
On a practical note, if  the above hypothesis is correct, it would be
relatively easy to identify the signature patterns of different emotions
(via PET or fMRI) and emotionally "program" an AI's reward structure to
ensure that it behaves itself

J Standley
http://users.rcn.com/standley/AI/AI.htm
updated today! see:
http://users.rcn.com/standley/AI/Neural%20Processing.htm
http://users.rcn.com/standley/AI/ISL.htm

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