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Towards a Prehistory of Evolutionary and Adaptive Computation in Music

  • Colin G. Johnson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2611)

Abstract

A number of systems have been created which apply genetic algorithms, cellular automata, artificial life, agents, and other evolutionary and adaptive computation ideas in the creation of music. The aim of this paper is to examine the context in which such systems arose by looking for features of experimental music which prefigure the ideas used in such systems. A number of ideas are explored: the use of randomness in music, the view of compositions as parameterized systems, the idea of emergent structure in music and the idea of musicians performing the role of reactive agents.

Keywords

Genetic Algorithm Cellular Automaton Cellular Automaton Model Great Learn Adaptive Computation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Colin G. Johnson
    • 1
  1. 1.Computing LaboratoryUniversity of KentCanterbury, KentEngland

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