Abstract
This paper presents an evolutionary music system that generates complex rhythmic polyphony in performance. A population of rhythms is derived from analysis of source material, using a first order Markov chain derived from subdivision transitions. The population evolves in performance, and each generation is analysed to provide rules for subsequent generations.
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Eigenfeldt, A. (2009). The Evolution of Evolutionary Software: Intelligent Rhythm Generation in Kinetic Engine. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_56
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DOI: https://doi.org/10.1007/978-3-642-01129-0_56
Publisher Name: Springer, Berlin, Heidelberg
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