Modelling Human Preference in Evolutionary Art
Inhaltsverzeichnis
Reference
Ekárt, Anikó; Sharma, Divya; Chalakov, Stayko: Modelling Human Preference in Evolutionary Art. In: EvoMUSART 2011, S. 303-312.
DOI
http://link.springer.com/10.1007/978-3-642-20520-0_31
Abstract
Creative activities including arts are characteristic to humankind. 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 model human visual preference by a set of aesthetic measures identified through observation of human selection of images and then use these for automatic evolution of aesthetic images.
Extended Abstract
Bibtex
@incollection{
year={2011},
isbn={978-3-642-20519-4},
booktitle={Applications of Evolutionary Computation},
volume={6625},
series={Lecture Notes in Computer Science},
editor={Di Chio, Cecilia and Brabazon, Anthony and Di Caro, GianniA. and Drechsler, Rolf and Farooq, Muddassar and Grahl, Jörn and Greenfield, Gary and Prins, Christian and Romero, Juan and Squillero, Giovanni and Tarantino, Ernesto and Tettamanzi, AndreaG.B. and Urquhart, Neil and Uyar, A.Şima},
doi={10.1007/978-3-642-20520-0_31},
title={Modelling Human Preference in Evolutionary Art},
url={http://dx.doi.org/10.1007/978-3-642-20520-0_31 http://de.evo-art.org/index.php?title=Modelling_Human_Preference_in_Evolutionary_Art },
publisher={Springer Berlin Heidelberg},
keywords={aesthetic measure; human preference modelling; genetic programming; interactive vs automatic evolution},
author={Ekárt, Anikó and Sharma, Divya and Chalakov, Stayko},
pages={303-312},
language={English}
}
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Links
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