Algorithmic composition is the technique of using algorithms to create music.
Algorithms (or, at the very least, formal sets of rules) have been used to compose music for centuries; the procedures used to plot voice-leading in Western counterpoint, for example, can often be reduced to algorithmic determinacy. The term can be used to describe music-generating techniques that run without ongoing human intervention, for example through the introduction of chance procedures. However through live coding and other interactive interfaces, a fully human-centric approach to algorithmic composition is possible.[1]
Some algorithms or data that have no immediate musical relevance are used by composers[2] as creative inspiration for their music. Algorithms such as fractals, L-systems, statistical models, and even arbitrary data (e.g. census figures, GIS coordinates, or magnetic field measurements) have been used as source materials.
One way to categorize compositional algorithms is by their structure and the way of processing data, as seen in this model of six partly overlapping types:[3]
- translational models
- mathematical models
- knowledge-based systems
- grammars
- optimization approaches
- evolutionary methods
- systems which learn
- hybrid systems
Comments
Post a Comment