Modelling Human Preference in Evolutionary Art

  • Anikó Ekárt
  • Divya Sharma
  • Stayko Chalakov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6625)

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.

Keywords

aesthetic measure human preference modelling genetic programming interactive vs automatic evolution 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Anikó Ekárt
    • 1
  • Divya Sharma
    • 2
  • Stayko Chalakov
    • 1
  1. 1.Aston UniversityAston TriangleUK
  2. 2.IIT RoparIndia

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