Adaptive music: Automated music composition and distribution
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Creativity, or the ability to produce new useful ideas, is commonly associated to the human being, but there are many other examples in nature where this phenomenon can be observed. Inspired by this fact, in engineering and particularly in computational sciences, many different models have been developed to tackle a number of problems. Music, a form of art broadly present along the human history, is the main field addressed in this thesis, taking advantage of the kind of ideas that bring diversity and creativity to nature and computation. We present Melomics, an algorithmic composition method based on evolutionary search, with a genetic encoding of the solutions that are interpreted in a complex developmental process that leads to music in standard formats. This bioinspired compositional system has exhibited a highly creative power and versatility to produce music of different type, which in many occasions has proven to be indistinguishable from the music made by human composers. The system also has enabled the emergence of a set of completely novel applications: from effective tools that help anyone to easily obtain the precise music they need, to radically new uses like adaptive music for therapy, amusement or many other purposes. It is clear to us that there is yet much research to be done in this field and that countless and new unimaginable uses will derive from it.
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