Modelling the underlying principles of human aesthetic preference in evolutionary art

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DC Field	Value	Language
dc.contributor.author	Eka´rt, A.	-
dc.contributor.author	Joo, A.	-
dc.contributor.author	Sharma, D.	-
dc.contributor.author	Chalakov, S.	-
dc.date.accessioned	2021-09-18T11:57:47Z	-
dc.date.available	2021-09-18T11:57:47Z	-
dc.date.issued	2021-09-18	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/2699	-
dc.description.abstract	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 study human visual preference through observation of nearly 500 user sessions with a simple evolutionary art system. The progress of a set of aesthetic measures throughout each interactive user session is monitored and subsequently mimicked by automatic evolution in an attempt to produce an image to the liking of the human user.	en_US
dc.language.iso	en_US	en_US
dc.subject	aesthetic measure	en_US
dc.subject	human preference modelling	en_US
dc.subject	evolutionary art	en_US
dc.subject	genetic programming	en_US
dc.subject	interactive versus automatic evolution	en_US
dc.title	Modelling the underlying principles of human aesthetic preference in evolutionary art	en_US
dc.type	Article	en_US
Appears in Collections:	Year-2012

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