Generative Choreography: Animating in Real-Time Dancing Avatars

  • Rui Filipe Antunes
  • Frederic Fol Leymarie
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7247)


In this paper we introduce a novel approach to dance choreographies in virtual worlds. We present a dance performed by avatars in a virtual world, where a computational ecosystem provides a mechanism driving the actions and movements of the avatars. First, we discuss the background and motivations, and describe the performance. Then, we describe the technical aspects of the algorithm driving the choreographic movements. Finally we discuss its critical aspects and contextualize the work with regards to dance practice and evolutionary art history. In the process of this discussion, we emphasize the advantages of the AI model of computational ecosystems for the animation of non-player-characters.


Virtual World Active Message Wild Card Wide Movement Dualistic Alternative 
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.


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  1. 1.
  2. 2.
    Antunes, R.F., Leymarie, F.F.: Vishnu’s dance of life and death,
  3. 3.
    Antunes, R.F., Leymarie, F.F.: xTNZ- An Evolutionary Three-dimensional Ecosystem. In: Barbosa, A. (ed.) Proceedings of the 4th International Conference on Digital Arts, Artech 2008, pp. 201–204 (2008)Google Scholar
  4. 4.
    Antunes, R.F., Leymarie, F.F.: Epigenetics as aesthetic instrument in a generative virtual ecosystem. In: Valbom, L. (ed.) Proc. of the 5th Inter. Conference on Digital Art, ARTECH 2010, pp. 172–176 (2010)Google Scholar
  5. 5.
    Brown, R., Aleksander, I., MacKenzie, J., Faith, J.: Biotica: Art, Emergence And Artificial Life. In: RCA Computer Related Design Research, Art Books Intl. Ltd (2001)Google Scholar
  6. 6.
    Burraston, D., Edmonds, E.: Cellular automata in generative electronic music and sonic art: a historical and technical review. Digital Creativity 16(3) (2005)Google Scholar
  7. 7.
    Griesbeck, C.: Introduction to Laba notation (2011),
  8. 8.
    Holland, J.: Hidden Order: How Adaptation Builds Complexity. Helix Books (1996)Google Scholar
  9. 9.
    Jie, L.: La performance,
  10. 10.
    McCormack, J.: Eden: An Evolutionary Sonic Ecosystem. In: Kelemen, J., Sosík, P. (eds.) ECAL 2001. LNCS (LNAI), vol. 2159, pp. 133–142. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  11. 11.
    Means, L.: Generative Art. YLEM Journal 23(6), 8–10 (2003)Google Scholar
  12. 12.
    Saarinen, I.: Ballet Pixelle,
  13. 13.
    Saruwatari, T., Toqunaga, Y., Hoshino, T.: ADIVERSITY: Stepping Up Trophic Levels. In: Brooks, R.A., Maes, P. (eds.) Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems, pp. 424–429 (1994)Google Scholar
  14. 14.
    Semple, R.: Ministry of Motion,
  15. 15.
    Tasa, U., Gorgulu, T.: Meta-art: art of the 3-D user-created virtual worlds. Digital Criativity 21(2), 100–111 (2010)CrossRefGoogle Scholar
  16. 16.
    Yaeger, L.: Computational genetics, physiology, metabolism, neural systems, learning, vision, and behavior on Polyworld: Life in a new context. In: Langton, C.G. (ed.) Artificial Life III, SFI Studies In The Sciences Of Complexity, vol. XVII, pp. 263–298. Addison-Wesley (1994)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Rui Filipe Antunes
    • 1
  • Frederic Fol Leymarie
    • 1
  1. 1.Goldsmiths, University of LondonUnited Kingdom

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