Adaptive Critics for Evolutionary Artists
Inhaltsverzeichnis
Reference
Machado, Penousal; Romero, Juan; Santos, Maria Luisa; Cardoso, Amilcar; Manaris, Bill: Adaptive Critics for Evolutionary Artists. In: EvoMUSART 2004, S. 437-446.
DOI
http://link.springer.com/10.1007/978-3-540-24653-4_45
Abstract
We focus on the development of artificial art critics. These systems analyze artworks, extracting relevant features, and produce an evaluation of the perceived pieces. The ability to perform aesthetic judgments is a desirable characteristic in an evolutionary artificial artist. As such, the inclusion of artificial art critics in these systems may improve their artistic abilities. We propose artificial art critics for the domains of music and visual arts, presenting a comprehensive set of experiments in author identification tasks. The experimental results show the viability and potential of our approach.
Extended Abstract
Bibtex
@incollection{
year={2004},
isbn={978-3-540-21378-9},
booktitle={Applications of Evolutionary Computing},
volume={3005},
series={Lecture Notes in Computer Science},
editor={Raidl, GüntherR. and Cagnoni, Stefano and Branke, Jürgen and Corne, DavidWolfe and Drechsler, Rolf and Jin, Yaochu and Johnson, ColinG. and Machado, Penousal and Marchiori, Elena and Rothlauf, Franz and Smith, GeorgeD. and Squillero, Giovanni},
doi={10.1007/978-3-540-24653-4_45},
title={Adaptive Critics for Evolutionary Artists},
url={http://dx.doi.org/10.1007/978-3-540-24653-4_45 http://de.evo-art.org/index.php?title=Adaptive_Critics_for_Evolutionary_Artists },
publisher={Springer Berlin Heidelberg},
author={Machado, Penousal and Romero, Juan and Santos, MaríaLuisa and Cardoso, Amílcar and Manaris, Bill},
pages={437-446},
language={English}
}
Used References
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Links
Full Text
http://fmachado.dei.uc.pt/wp-content/papercite-data/pdf/mrs+04.pdf
