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An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images

  • Conference paper
Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8601))

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Abstract

Recently, the question of whether artifacts obtained from a generative art system can be judged as creative based on the characteristics of their offspring has received considerable attention. Here, we focus on the question of whether aesthetic images can be evolved by considering characteristics of their offspring. We introduce a formal model for designing fitness functions for use in automated evolution of aesthetic images whereby genotypes are evaluated relative to certain characteristics of their offspring. We describe the results of an experiment using such an indirect fitness scheme that promotes offspring diversity in order to help select for parent phenotypes with desired symmetry and complexity properties. We use as our image generation platform a variant of the Sims’ classical Evolving Expressions generative art system.

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Author information

Authors and Affiliations

  1. University of Richmond, Richmond, VA, 23173, USA

    Gary Greenfield

Authors
  1. Gary Greenfield
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Editor information

Editors and Affiliations

  1. School of Computer Science, Department of Communications and Information Technologies, Campus de Elviña, University of A Coruña, 15071, A Coruña, Spain

    Juan Romero

  2. Complex and Adaptive Systems Laboratory, Lochlann Quinn School of Business, Donnybrook, University College Dublin, 4, Dublin, Ireland

    James McDermott

  3. CISUC, Department of Informatics Engineering, Pinhal de Marrocos, University of Coimbra, 3030, Coimbra, Portugal

    JoĂŁo Correia

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Greenfield, G. (2014). An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images. In: Romero, J., McDermott, J., Correia, J. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2014. Lecture Notes in Computer Science, vol 8601. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44335-4_8

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  • DOI: https://doi.org/10.1007/978-3-662-44335-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44334-7

  • Online ISBN: 978-3-662-44335-4

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