Developing fitness functions for pleasant music: zipf's law and interactive evolution systems

  • Authors:

  • Bill Manaris;Penousal Machado;Clayton McCauley;Juan Romero;Dwight Krehbiel

  • Affiliations:

  • Computer Science Department, College of Charleston, Charleston, SC;Instituto Superior de Engenharia de Coimbra, Coimbra, Portugal;Computer Science Department, College of Charleston, Charleston, SC;Creative Computer Group – RNASA Lab – Faculty of Computer Science, University of A Coruña, Coruña, Spain;Psychology Department, Bethel College, North Newton, KS

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

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Abstract

In domains such as music and visual art, where the quality of an individual often depends on subjective or hard to express concepts, the automating fitness assignment becomes a difficult problem. This paper discusses the application of Zipf's Law in evaluation of music pleasantness. Preliminary results indicate that a set of Zipf-based metrics can be effectively used to classify music according to pleasantness as reported by human subjects. These studies suggest that metrics based on Zipf's law may capture essential aspects of proportion in music as it relates to music aesthetics. We discuss the significance of these results for the automation of fitness assignment in evolutionary music systems.