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README.md

Kolmogorov music

Abstract

Kolmogorov complexity analysis suggests that we can measure how well we understand a piece of music by the concision of a program that produces it.

Furthermore, the inherent complexity of a groove and a fugue can be compared via the lengths of their programmatic representations, and their relationship can be described as a program transformation.

Algorithmic composition has curious implications for the creation, copyright and performance of pieces, both finite and infinite. Expect (finite) demonstrations.

References