NEvAr – System Overview



In the past few years, a new Artificial Intelligence area has begun to emerge, usually named
Creative Reasoning. While some researchers approach the study of creativity from a human
perspective, and thus try to model human creativity, we follow a different approach: we
consider nature to be creative, and hence try to it in an attempt to create systems that have the
potential to be creative. In this paper we make an overview of the evolutionary art tool NEvAr
– a system that allows the evolution of populations of images.


Evolutionary Art

Related Project

NEvAr - Neuro Evolutionary Art


Generative Art, December 2003

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Cited by

Year 2012 : 1 citations

 Galanter, Philip. "Computational aesthetic evaluation: past and future." Computers and Creativity. Springer Berlin Heidelberg, 2012. 255-293.

Year 2009 : 1 citations

 Piotr Szachewicz, Estetyka obliczeniowa. Wybrane metody automatycznej oceny warto ́sci estetycznej, PFK: Teksty Pokonferencyjne, 4 (2009), 337–348

Year 2007 : 1 citations

 Matthew Lewis, "Evolutionary Visual Art and Design", in "The Art of Artificial Evolution", Romero and Machado (Eds.), Natural Computing Series, Springer, 2007.

Year 2004 : 1 citations

 — N. Svangård and P. Nordin. Automated aesthetic selection of evolutionary art by distance based classification of genomes and phenomes using the universal similarity metric. In G. R. Raidl, S. Cagnoni, J. Branke, D. Corne, R. Drechsler, Y. Jin, C. G. Johnson, P. Machado, E. Mar- chiori, F. Rothlauf, G. D. Smith, and G. Squillero, editors, Applications of Evolutionary Computing, EvoWorkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Coim- bra, Portugal, April 5-7, 2004, Proceedings, volume 3005 of Lecture Notes in Computer Science, pages 447–456. Springer, 2004