Exploring rhythmic automata

  • Authors:
  • Andrew R. Brown

  • Affiliations:
  • Queensland University of Technology, Brisbane, Australia

  • Venue:
  • EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
  • Year:
  • 2005

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Abstract

Abstract. The use of Cellular Automata (CA) for musical purposes has a rich history. In general the mapping of CA states to note-level music representations has focused on pitch mapping and downplayed rhythm. This paper reports experiments in the application of one-dimensional cellular automata to the generation and evolution of rhythmic patterns. A selection of CA tendencies are identified that can be used as compositional tools to control the rhythmic coherence of monophonic passages and the polyphonic texture of musical works in broad-brush, rather than precisely deterministic, ways. This will provide the composer and researcher with a clearer understanding of the useful application of CAs for generative music.