The Evolution of Evolutionary Software: Intelligent Rhythm Generation in Kinetic Engine
نویسنده
چکیده
This paper presents an evolutionary music software 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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