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Understanding Aesthetics and Fitness Measures in Evolutionary Art Systems

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Listed:
  • Colin G. Johnson
  • Jon McCormack
  • Iria Santos
  • Juan Romero

Abstract

One of the general aims of evolutionary art research is to build a computer system capable of creating interesting, beautiful, or creative results, including images, videos, animations, text, and performances. In this context, it is crucial to understand how fitness is conceived and implemented to explore the “interestingness,” beauty, or creativity that the system is capable of. In this paper, we survey the recent research on fitness for evolutionary art related to aesthetics. We also cover research in the psychology of aesthetics, including relation between complexity and aesthetics, measures of complexity, and complexity predictors. We try to establish connections between human perception and understanding of aesthetics with current evolutionary techniques.

Suggested Citation

  • Colin G. Johnson & Jon McCormack & Iria Santos & Juan Romero, 2019. "Understanding Aesthetics and Fitness Measures in Evolutionary Art Systems," Complexity, Hindawi, vol. 2019, pages 1-14, March.
    • Handle: RePEc:hin:complx:3495962
    DOI: 10.1155/2019/3495962
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    References listed on IDEAS

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    1. Manuela M Marin & Helmut Leder, 2013. "Examining Complexity across Domains: Relating Subjective and Objective Measures of Affective Environmental Scenes, Paintings and Music," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-1, August.
    2. André Cavalcante & Ahmed Mansouri & Lemya Kacha & Allan Kardec Barros & Yoshinori Takeuchi & Naoji Matsumoto & Noboru Ohnishi, 2014. "Measuring Streetscape Complexity Based on the Statistics of Local Contrast and Spatial Frequency," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-13, February.
    3. Andreas Gartus & Helmut Leder, 2017. "Predicting perceived visual complexity of abstract patterns using computational measures: The influence of mirror symmetry on complexity perception," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-29, November.
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