On Mon, Oct 13, 2008 at 8:06 PM, Ben Goertzel <[EMAIL PROTECTED]> wrote:
> Personally, I have swung between extremes of excessive self-doubt
> and excessive self-confidence many times ... but one way or another,
> I've kept pushing ahead hard with the work, regardless of the emotional
> fluctuations my limbic system may cook up...
>
> -- Ben G

There is a difference between 'self-doubt' and the capability to
criticize your own theories.  To be able to criticize your own
theories, (or those theories you are arguing for) you only have to be
able to examine them from a number of different vantages - including
those that may be critical.

I agree that it is unlikely that anyone is completely unable to
examine his own theories from different perspectives and that is why I
believe this capability is a fundamental method of intelligence.  On
the other hand, I believe that people who are either overly defensive
or who just cannot appreciate the possibility that some of their
theories (or criticisms) may not be as sound and extensive as they
believe them still utilize this multiple vantage perspective (that I
believe is innate) by continually refocusing their attention onto
those manifestations of their theories that they believe they have
found.  So, at worse, a closed minded person can spend years and years
honing an argument that may have little beneficial effect on his life
or on his world, but he does so by using the same tools that more
successful people seem to use.

This opinion can be reduced to the point to make it seem too obvious
to bother with.  But I believe that it has important implications for
advanced AI research.

This process of reexamining a system of theories, and then focusing on
particular aspects of those theories, can be very effective but it can
also produce a great deal of ineptness just as easily.  That is why
empirical methods are so important.  But then you run into the problem
that there is a roughly inverse relationship between the establishment
of  feasible objectives that can be  used to measure success in
developing AGI and the range of generality that can be established by
their use.

Jim Bromer


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