Dan Costelloe
ABSTRACT
We describe the "bottom-up" construction of a system which aims to build models of human musicalpreferences with strong predictive power. We use Grammatical Evolution to construct models from toydatasets 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.
- D. Costelloe and C. Ryan. Genetic Programming for Subjective Fitness Function Identification. In M. Keijzer et al., editors, EuroGP 2004 Proceedings, volume 3003 of LNCS, pages 259--268, Coimbra, Portugal, 2004. Springer-Verlag.Google Scholar
Index Terms
- Towards models of user preferences in interactive musical evolution
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