Creative evolutionary systems
Proceedings of the European Conference on Genetic Programming
Evolutionary Computer Music
Filterscape: Energy Recycling in a Creative Ecosystem
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
Exploiting functional relationships in musical composition
Connection Science - Music, Brain, Cognition
Scaffolding for interactively evolving novel drum tracks for existing songs
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Jive: a generative, interactive, virtual, evolutionary music system
EvoCOMNET'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part II
AI methods in algorithmic composition: a comprehensive survey
Journal of Artificial Intelligence Research
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We focus on a representation for evolutionary music based on executable graphs in which nodes execute arithmetic functions. Input nodes supply time variables and abstract control variables, and multiple output nodes are mapped to MIDI data. The motivation is that multiple outputs from a single graph should tend to behave in related ways, a key characteristic of good music. While the graph itself determines the short-term behaviour of the music, the control variables can be used to specify large-scale musical structure. This separation of music into form and content enables novel compositional techniques well-suited to writing for games and film, as well as for standalone pieces. A mapping from integer-array genotypes to executable graph phenotypes means that evolution, both interactive and non-interactive, can be applied. Experiments with and without human listeners support several specific claims concerning the system's benefits.