When you use MOSES for supervised classification, it's doing something
similar to a supervised learning algorithm... the advantage of MOSES
in that case is mostly that it tends to come up with classification
rules that are both accurate and concise (if the parameters are tuned
well), whereas e.g. it's hard to get neural nets or SVMs to produce
models that aren't bloated...
However, MOSES can also be used to learn other programs besides
classification functions
ben
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--
Ben Goertzel, PhD
http://goertzel.org
"I am God! I am nothing, I'm play, I am freedom, I am life. I am the
boundary, I am the peak." -- Alexander Scriabin