Modelling human preference in evolutionary art
| Data(s) |
01/04/2011
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|---|---|
| Resumo |
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. © 2011 Springer-Verlag. |
| Formato |
application/pdf |
| Identificador |
http://eprints.aston.ac.uk/16138/1/ekart.pdf 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. |
| Publicador |
Springer |
| Relação |
http://eprints.aston.ac.uk/16138/ |
| Tipo |
Book Section NonPeerReviewed |
