Path: utzoo!utgpu!news-server.csri.toronto.edu!bonnie.concordia.ca!thunder.mcrcim.mcgill.edu!snorkelwacker.mit.edu!usc!zaphod.mps.ohio-state.edu!uakari.primate.wisc.edu!aplcen!aplcomm!uunet!olivea!genie!udel!princeton!phoenix.Princeton.EDU!eliot From: eliot@phoenix.Princeton.EDU (Eliot Handelman) Newsgroups: comp.ai Subject: Re: Music and AI Message-ID: <10936@idunno.Princeton.EDU> Date: 19 Jun 91 17:17:23 GMT References: <23491@shlump.lkg.dec.com> <3084@lee.SEAS.UCLA.EDU> Sender: news@idunno.Princeton.EDU Organization: Cognitive Science Lab, Princeton U. Lines: 16 Nntp-Posting-Host: phoenix.princeton.edu In article <3084@lee.SEAS.UCLA.EDU> bsmith@turing.seas.ucla.edu (Brian Smith) writes: ; However, the processes of creativity really aren't clearly ;understood, and perhaps we can learn something by trying to model artistic ;behavior with a computer. After all, musical composition is really (being a ;bit oversimplistic here) just a very sophisticated planning system, is it not? The problem is setting constraints for the planner, ie, what constitutes an admissable "move," so to speak. (Allowing a second simplification of restricting possible musical actions, but that's like restricting yourself to a couple of tom-toms -- the nature of problem isn't altered). Musical constraints are exceptionally difficult to get a hold of, because they are cognitive, cultural and volatile, rather than formalistic and invariant. Almost certainly the same is true of creativity. It's much more interesting to focus on the listener, because apprehension is the simplest act of creativity.