The link from Lukas seems to suggest that applying this technology is
something of an art (is that right?):
"As a side note, the fickle nature of the evolutionary approach is the
primary reason why euphoria isn't middleware; the team at NaturalMotion
helps you integrate it. Most often, you have to request behaviors and they
produce them for you. It takes a lot of experience to be able to capture
requirements and express them as a fitness function that produces the
desired results in a way that looks realistic."
Bob/ Ben Goertzel <[EMAIL PROTECTED]>:
If you gathered data about how people move in a certain context, using
motion capture, then you could use their GA/NN stuff to induce a
program that would generate data similar to the motion-captured data.
A system which could do this generally would be very powerful, and
effectively a kind of AGI scientist. In general terms the problem is
one of given the observable data find the most concise model which
fits, then use that to make a prediction about future data and try to
drive the prediction error to zero.
-------------------------------------------
agi
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