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Towards models of user preferences in interactive musical evolution

, and . GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2, page 2254--2254. London, ACM Press, (7-11 July 2007)

Abstract

We describe the bottom-up construction of a system which aims to build models of human musical preferences with strong predictive power. We use Grammatical Evolution to construct models from toy datasets which mimic real world user-generated data. These models will ultimately substitute for the subjective fitness functions that human users employ during Interactive Evolution of melodies.

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