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Modelling Human Preference in Evolutionary Art

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNTCS,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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Ekárt, A., Sharma, D., Chalakov, S. (2011). Modelling Human Preference in Evolutionary Art. In: , et al. Applications of Evolutionary Computation. EvoApplications 2011. Lecture Notes in Computer Science, vol 6625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20520-0_31

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  • DOI: https://doi.org/10.1007/978-3-642-20520-0_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20519-4

  • Online ISBN: 978-3-642-20520-0

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