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APL'2002 Madrid Proceedings $OIRQVR 2UWHJD 5DIDHO 6iQFKH] DQG 0DQXHO $OIRQVHFD148
 

Summary: APL'2002 Madrid Proceedings
$OIRQVR 2UWHJD 5DIDHO 6iQFKH] DQG 0DQXHO $OIRQVHFD148
Acknowledgement
This paper has been sponsored by the Spanish Interdepartmental Commission of Science and
Technology (CICYT), project numbers TEL1999-0181 and TIC2001-0685-C02-1.
Abstract
This work describes how grammatical evolution may be applied to the domain of automatic
composition. Our goal is to test this technique as an alternate tool for automatic composition. The
AP440 auxiliary processor will be used to play music, thus we shall use a grammar that generates
AP440 melodies. Grammar evolution will use fitness functions defined from several well-known single
melodies to automatically generate AP440 compositions that are expected to sound like those composed
by human musicians.
1. Introduction
The automatic generation of musical composition is a multi disciplinary area of interest and research.
Some of the current approaches try to simulate how the musicians play [1] or improvise [2] while other
do not deal with the time spent in the process. The greater part of them applies models of Theoretical
Computer Science (cellular automata [3], parallel derivation grammars [1] and evolutionary
programming [4-7]) to the generation of complex compositions. A musical meaning is given to the
models and the music is automatically found (composed) by means of genetic programming. Our group
is interested in the simulation of complex systems by means of formal models, their equivalence, and

  

Source: Alfonseca, Manuel - Escuela Politécnica Superior, Universidad Autonoma de Madrid

 

Collections: Computer Technologies and Information Sciences; Engineering