Modelling human preference in evolutionary art

Ekárt, Anikó, Chalakov, Stayko and Sharma, Divya (2011). Modelling human preference in evolutionary art. IN: Applications of Evolutionary Computation EvoApplications 2011. Lecture notes in computer science . London (UK): Springer.

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.

Publication DOI: https://doi.org/10.1007/978-3-642-20520-0_31
Divisions: Engineering & Applied Sciences > Computer science research group
Engineering & Applied Sciences > Computer science
Aston University (General)
Additional Information: The original publication is available at www.springerlink.com
Event Title: EvoApplications 2011
Event Type: Other
Event Dates: 2011-04-27 - 2011-04-29
Full Text Link: http://www.spri ... 10mn93w/?MUD=MP
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2011-04-01
Authors: Ekárt, Anikó ( 0000-0001-6967-5397)
Chalakov, Stayko
Sharma, Divya

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Version: Accepted Version


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