>
>  On Mon, Jun 28, 2010 at 11:15 AM, Mike Tintner 
> <[email protected]>wrote:
>
>>
>> Inanimate objects normally move  *regularly,* in *patterned*/*pattern*
>> ways, and *predictably.*
>>
>> Animate objects normally move *irregularly*, * in *patchy*/*patchwork*
>> ways, and *unbleedingpredictably* .
>>
>
>

I think you made a major tactical error and just got caught acting the way
you are constantly criticizing everyone else for acting.  --(Busted)--

You might say my interest is: how do we get a contemporary computer problem
to deal with situations in which a prevailing (or presumptuous) point of
view should be reconsidered from different points of view, when the range of
reasonable ways to look at a problem is not clear and the possibilities are
too numerous for a contemporary computer to examine carefully in a
reasonable amount of time.

For example, we might try opposites, and in this case I wondered about the
case where we might want to consider a 'supposedly inanimate object' that
moves in an irregular and "unpredictable" way.  Another example: Can
unpredictable itself be considered predictable?  To some extent the answer
is, of course it can.  The problem with using "opposites" is that it is an
idealization of real world situations and where using alternative ways of
looking at a problem may be useful.  Can an object be both inanimate and
animate (in the sense Mike used the term)?  Could there be another class of
things that was neither animate nor inanimate?  Is animate versus animate
really the best way to describe living versus non living?  No?

Given that the possibilities could quickly add up and given that they are
not clearly defined, it presents a major problem of complexity to the would
be designer of a true AGI program.  The problem is that it is just not
feasible to evaluate millions of variations of possibilities and then find
the best candidates within a reasonable amount of time. And this problem
does not just concern the problem of novel situations but those specific
situations that are familiar but where there are quite a few details that
are not initially understood.  While this is -clearly- a human problem, it
is a much more severe problem for contemporary AGI.

Jim Bromer



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