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@hellofunk: If you want the ML algorithm to actually learn how to write music, at the very least, the programmer must be able to express the goal of producing musical sequences of notes.
Is not the idea to see if the ML algorithm to learn how music is written?
I agree with catnaroek - this is a bad example of human learning, never mind a good example of ML.
Well, one where you don't look over at your partner and wonder if the have any clue how music works before pushing them off the piano bench.
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@jgalloway___: I'm not sure if I'd call it an “expectation”. I just dislike it when people throw random shit at the wall and see what sticks. When you write music, you should first think how it's going to sound, convince yourself that it's plausibly good-sounding, and only then actually play it just to make sure it sounds good. If you do it the other way around (first play random stuff, then filter out what doesn't sounds good), you're a wanker.
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@ohitsdom: I'm totally fine with improvisation driven by ideas, not random computation. Coming up with ideas on the fly is good. Passing noise as genuine ideas is not good.
This experiment does neither particularly well.