Todd,P.M.

Victor Frankenstein sought to create an intelligent being imbued with the rules of civilized human conduct, who could further learn how to behave and possibly even evolve through successive generations into a more perfect form. Modern human composers similarly strive to create intelligent algorithmic music composition systems that can follow pre-specified rules, learn appropriate patterns from a collection of melodies, or evolve to produce output more perfectly matched to some aesthetic criteria. Here we review recent efforts aimed at each of these three types of algorithmic composition. We focus particularly on evolutionary methods, and indicate how monstrous many of the results have been. We present a new method that uses coevolution to create linked artificial music critics and music composers, and describe how this method can attach the separate parts of rules, learning, and evolution together into one coherent body.

Todd, P. M., & Werner, G. M. (1999). Frankensteinian methods for evolutionary music composition. In N. Griffith, & P. M. Todd (Eds.), Musical networks: Parallel Distributed Perception and Performance (pp. 313-339). Cambridge, MA: MIT Press. (Full text)

Publication year	1999
Document type:	In book
Publication status:	Published
External URL:	http://www.mpib-berlin.mpg.de/en/institut/dok/full/Todd/tpfmfmn__/tpfmfmn__.html View
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