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== Reference ==
Todd, P. M., & Werner, G. M. (1998). [[Frankensteinian Methods for Evolutionary Music Composition]]. In N. Griffith & P. M. Todd (Eds.), Musical networks: Parallel distributed perception and performance. Cambridge, MA: MIT Press/Bradford Books.

== DOI ==

== Abstract ==
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 prespecified 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.

== Extended Abstract ==

== Bibtex ==

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== Links ==
=== Full Text ===
http://www-abc.mpib-berlin.mpg.de/users/ptodd/publications/99evmus/99evmus.pdf

[[intern file]]

=== Sonstige Links ===
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.46.6615

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 of the 1993 International Computer Music Conference (pp. 180-185). San Francisco: International
 Computer Music Association.
 Thywissen, K. (1996) GeNotator: An environment for investigating the application of genetic algorithms in

Frankensteinian Methods for Evolutionary Music Composition - Versionsgeschichte

Gbachelier am 7. Januar 2015 um 15:19 Uhr

Gbachelier: Die Seite wurde neu angelegt: „== Reference == Todd, P. M., & Werner, G. M. (1998). Frankensteinian Methods for Evolutionary Music Composition. In N. Griffith & P. M. Todd (Eds.), Musica…“