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Towards a prehistory of evolutionary and adaptive computation in music

Johnson, Colin G. (2003) Towards a prehistory of evolutionary and adaptive computation in music. In: Raidl, Gunther R. and Corne, David W. and Marchiori, Elena and Gottlieb, Jens and Cagnoni, Stefano and Romero Cardalda, Juan J. and Johnson, Colin G. and Hart, Emma and Middendorf, Martin and Guillot, Agnes and Meyer, Jean-Arcady, eds. Applications of Evolutionary Computing. Lecture Notes In Computer Science . Springer, pp. 502-509. ISBN 978-3-540-00976-4. E-ISBN 978-3-540-36605-8. (doi:10.1007/3-540-36605-9_46) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13991)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1007/3-540-36605-9_46

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.

Item Type: Book section
DOI/Identification number: 10.1007/3-540-36605-9_46
Additional information: Conference Information: EvoWorkshops 2003 Conference
Uncontrolled keywords: Genetic Algorithm; Cellular Automaton; Cellular Automaton Model; Great Learn; Adaptive Computation
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:01 UTC
Last Modified: 16 Nov 2021 09:52 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/13991 (The current URI for this page, for reference purposes)

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