Life’s What You Make: Niche Construction and Evolutionary Art

  • Jon McCormack
  • Oliver Bown
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5484)

Abstract

This paper advances new methods for ecosystemic approaches to evolutionary music and art. We explore the biological concept of the niche and its role in evolutionary dynamics, applying it to creative computational systems. Using the process of niche construction organisms are able to change and adapt their environment, and potentially that of other species. Constructed niches may become heritable environments for offspring, paralleling the way genes are passed from parent to child. In a creative ecosystem, niche construction can be used by agents to increase the diversity and heterogeneity of their output. We illustrate the usefulness of this technique by applying niche construction to line drawing and music composition.

Keywords

Niche Width Niche Construction Density Preference Sine Tone Hopeful Monster 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    McCormack, J.: Facing the Future: Evolutionary Possibilities for Human-Machine Creativity. In: The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music, pp. 417–451. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  2. 2.
    Dorin, A.: Aesthetic fitness and artificial evolution for the selection of imagery from the mythical infinite library. In: Kelemen, J., Sosík, P. (eds.) ECAL 2001. LNCS (LNAI), vol. 2159, pp. 659–668. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  3. 3.
    Di Scipio, A.: ‘sound is the interface’: from interactive to ecosystemic signal processing. Organised Sound 8(3), 269–277 (2003)CrossRefGoogle Scholar
  4. 4.
    Driessens, E., Verstappen, M.: Natural Processes and Artificial Procedures. Natural Computing Series. In: Design by Evolution: Advances in Evolutionary Design, pp. 101–120. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  5. 5.
    Dorin, A.: A Survey of Virtual Ecosystems in Generative Electronic Art. In: The Art of Artificial Evolution, pp. 289–309. Springer, Heidelberg (2006)Google Scholar
  6. 6.
    May, R.M.: Stability and Complexity in Model Ecosystems, 2nd edn. Princeton University Press, Princeton (2001)MATHGoogle Scholar
  7. 7.
    Odling-Smee, J., Laland, K.N., Feldman, M.W.: Niche Construction: The Neglected Process in Evolution. Monographs in Population Biology. Princeton University Press, Princeton (2003)Google Scholar
  8. 8.
    Day, R.L., Laland, K.N., Odling-Smee, J.: Rethinking adaptation: the niche-construction perspective. Perspectives in Biology and Medicine 46(1), 80–95 (2003)CrossRefGoogle Scholar
  9. 9.
    Dyke, J.G., McDonald-Gibson, J., Di Paolo, E., Harvey, I.R.: Increasing complexity can increase stability in a self-regulating ecosystem. In: Almeida e Costa, F., Rocha, L.M., Costa, E., Harvey, I., Coutinho, A. (eds.) ECAL 2007. LNCS (LNAI), vol. 4648, pp. 133–142. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  10. 10.
    Gamma, E.: Design patterns: elements of reusable object-oriented software. Addison-Wesley professional computing series. Addison-Wesley, Reading (1995)Google Scholar
  11. 11.
    Annunziato, M.: The nagual experiment, http://www.plancton.com/papers/nagual.pdf

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jon McCormack
    • 1
  • Oliver Bown
    • 1
  1. 1.Centre for Electronic Media ArtMonash University, ClaytonVictoriaAustralia

Personalised recommendations