Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Criticism, culture, and the automatic generation of artworks
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
A mathematical theory of communication
ACM SIGMOBILE Mobile Computing and Communications Review
Zipf's Law, Music Classification, and Aesthetics
Computer Music Journal
Generation of Musical Sequences with Genetic Techniques
Computer Music Journal
Microsound
Evolving Music Generation with SOM-Fitness Genetic Programming
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
A corpus-based hybrid approach to music analysis and composition
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
A Field Guide to Genetic Programming
A Field Guide to Genetic Programming
Modelling human preference in evolutionary art
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
Genetic evolution of L and FL-systems for the production of rhythmic sequences
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
AI methods in algorithmic composition: a comprehensive survey
Journal of Artificial Intelligence Research
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The efficient specification of aesthetic measures for music as a part of modelling human conception of sound is a challenging task and has motivated several research works. It is not only targeted to the creation of automatic music composers and raters, but also reinforces the research for a deeper understanding of human noesis. The aim of this work is twofold: first, it proposes an Interactive Evolution system that uses Genetic Programming to evolve simple 8---bit melodies. The results obtained by subjective tests indicate that evolution is driven towards more user---preferable sounds. In turn, by monitoring features of the melodies in different evolution stages, indications are provided that some sound features may subsume information about aesthetic criteria. The results are promising and signify that further study of aesthetic preference through Interactive Evolution may accelerate the progress towards defining aesthetic measures for sound and music.