Modelling human preference in evolutionary art

dc.contributor.author	Ek´art, A.
dc.contributor.author	Sharma, D.
dc.contributor.author	Chalakov, S.
dc.date.accessioned	2021-09-20T07:14:41Z
dc.date.available	2021-09-20T07:14:41Z
dc.date.issued	2021-09-20
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/2723
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.subject	aesthetic measure	en_US
dc.subject	human preference modelling	en_US
dc.subject	genetic programming	en_US
dc.subject	interactive vs automatic evolution	en_US
dc.title	Modelling human preference in evolutionary art	en_US
dc.type	Article	en_US