On Tue, 2011-10-11 at 08:23 +0100, Dan S wrote:
> For musical interestingness, the idea of the Wundt curve works pretty
> well - you need to be unpredictable but not too unpredictable since
> unpredictable is just noise. So one thing you could do for discrete
> melodies, if they're not too short you could use something like a
> markov model to predict the later parts of the melody based on the
> early part. If the trained markov model improves prediction relative
> to a uniformly-distributed markov model, but not to perfect
> prediction, maybe that's useful...
So you'd train the markov model on the style of melody you're interested
in, and the success of a prediction of part of the output is a metric
for the program that generated it? Sounds good.
It would also be possible to generate markov models of betablocker
programs themselves, as all possible programs are executable - but
that's something else again :)
cheers,
dave
Received on Wed Oct 12 2011 - 06:21:24 BST