Modelling human preference in evolutionary art

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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.

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Publication date1 Apr 2011
Publication titleApplications of Evolutionary Computation EvoApplications 2011 : EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, Torino, Italy, April 27-29, 2011, Proceedings, Part II
Place of PublicationLondon (UK)
PublisherSpringer
Pages303-312
Number of pages10
ISBN (Electronic)978-3-642-20520-0
ISBN (Print)978-3-642-20519-4
Original languageEnglish
EventEvoApplications 2011 - Torino, Italy
Duration: 27 Apr 201129 Apr 2011

Publication series

NameLecture notes in computer science
PublisherSpringer
Volume6625
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceEvoApplications 2011
CountryItaly
CityTorino
Period27/04/1129/04/11

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The original publication is available at www.springerlink.com

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