- Do you agree that from experience and observation, we can tell that certain genres or fields appear to become completed?
- Does this concept or another concept best explain what is happening?
Oh, thanks for the link!
I think you misunderstood me, or maybe I wasn't clear. I meant "of the strategies which we used to search for musical ideas, none of them involved solving NP-complete problems, and some of them have dried up." I think what neural nets do to learn about music are pretty close to what humans do -- once a learning tool finds a local minimum, it keeps attacking that local minimum until it refines it into something neat. I think a lot of strategies to produce music work like that.
I definitely don't think most humans intentionally sit down and try to solve NP-complete problems when they write music, and I don't think humans should do that either.
Actually, what this network does is a lot closer to pure improvisation than the process of successive refinement you're describing here. Optimization i.e. (search for a local minimum) is used in the training stage, where the network uses a trial-and-error strategy to fit a model of "how music goes". Once the model is fitted however, generating new pieces is a process of linear prediction, based on what the model has 'written' so far - this is actually among the most significant limitations of these models; they're great for pure inspiration, but ...