Modelling the underlying principles of human aesthetic preference in evolutionary art

Ekárt, Anikó, Joó, András, Sharma, Divya and Chalakov, Stayko (2012). Modelling the underlying principles of human aesthetic preference in evolutionary art. Journal of Mathematics and the Arts, 6 (2-3), pp. 107-124.

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.

Publication DOI: https://doi.org/10.1080/17513472.2012.679489
Divisions: Engineering & Applied Sciences > Computer science
Engineering & Applied Sciences > Computer science research group
Engineering & Applied Sciences
Additional Information: 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
Uncontrolled Keywords: aesthetic measure,human preference modelling,evolutionary art,genetic programming,interactive versus automatic evolution
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2012-06
Authors: Ekárt, Anikó ( 0000-0001-6967-5397)
Joó, András
Sharma, Divya
Chalakov, Stayko

Download

[img]

Version: Accepted Version


Export / Share Citation


Statistics

Additional statistics for this record