Modelling the underlying principles of human aesthetic preference in evolutionary art

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Abstract

Our understanding of creativity is limited, yet there is substantial research trying to mimic human creativity in artificial systems and in particular to produce systems that automatically evolve art appreciated by humans. We propose here to study human visual preference through observation of nearly 500 user sessions with a simple evolutionary art system. The progress of a set of aesthetic measures throughout each interactive user session is monitored and subsequently mimicked by automatic evolution in an attempt to produce an image to the liking of the human user.

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  • Modelling the underlying principles of human aesthetic preference in evolutionary art

    Rights statement: This is an electronic version of an article published in Ekárt, A. , Joó, A., Sharma, D., & Chalakov, S. (2012). Modelling the underlying principles of human aesthetic preference in evolutionary art. Journal of mathematics and the arts, 6(2-3), 107-124. Journal of mathematics and the arts is available online at: www.tandfonline.com/10.1080/17513472.2012.679489

    Accepted author manuscript, 7 MB, PDF-document

Details

Original languageEnglish
Pages (from-to)107-124
Number of pages18
JournalJournal of Mathematics and the Arts
Volume6
Issue2-3
Early online date14 Jun 2012
DOIs
StatePublished - Jun 2012

Bibliographic note

This is an electronic version of an article published in Ekárt, A. , Joó, A., Sharma, D., & Chalakov, S. (2012). Modelling the underlying principles of human aesthetic preference in evolutionary art. Journal of mathematics and the arts, 6(2-3), 107-124. Journal of mathematics and the arts is available online at: www.tandfonline.com/10.1080/17513472.2012.679489

    Keywords

  • aesthetic measure, human preference modelling, evolutionary art, genetic programming, interactive versus automatic evolution

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