Manipulating Artificial Ecosystems

  • Alice Eldridge
  • Alan Dorin
  • Jon McCormack
Conference paper

DOI: 10.1007/978-3-540-78761-7_42

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4974)
Cite this paper as:
Eldridge A., Dorin A., McCormack J. (2008) Manipulating Artificial Ecosystems. In: Giacobini M. et al. (eds) Applications of Evolutionary Computing. EvoWorkshops 2008. Lecture Notes in Computer Science, vol 4974. Springer, Berlin, Heidelberg

Abstract

Artificial ecosystems extend traditional evolutionary approaches in generative art in several unique and attractive ways. However some of these traits also make them difficult to work with in a creative context. This paper addresses the issue by adapting predictive modelling tools from theoretical ecology. Inspired by the ecological concept of specialism, we construct a parameterised fitness curve that controls the relative efficacy of generalist and specialist strategies. We use this to influence the population’s trajectory through phenotype space. We also demonstrate the influence of environmental structure in biasing evolutionary outcomes. These ideas are applied in a creative ecosystem, ColourCycling which generates abstract images.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Alice Eldridge
    • 1
  • Alan Dorin
    • 1
  • Jon McCormack
    • 1
  1. 1.Centre for Electronic Media ArtMonash UniversityAustralia

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