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Interactive Biomimetic Space: An Interactive Installation to Explore Living Architecture

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 6625)

Abstract

This paper describes a computer-based Interactive Biomimetic Space (IBS) installation. Through an interactive process, a user creates and relates new spaces. The simulation of a simplified ecosystem populates the created space with life. The installation attempts to inspire architectural design ideas by integrating biological principles. In particular, the biological concepts of stochastic motion, interaction and reproduction of artificial swarms have been explored and applied. Both the user and the swarm agents contribute to the design process, which results in interesting design outputs with a certain degree of unpredictability. We introduce the theoretical background of our work, outline its technical implementation, and present various interaction examples and scenarios.

Keywords

  • Interactive art
  • architectural design
  • swarm dynamics
  • computational development

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  • DOI: 10.1007/978-3-642-20520-0_37
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References

  1. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Santa Fe Institute Studies in the Sciences of Complexity. Oxford University Press, New York (1999)

    MATH  Google Scholar 

  2. Jacob, C.J., Hushlak, G., Boyd, J.E., Nuytten, P., Sayles, M., Pilat, M.: Swarmart: Interactive Art from Swarm Intelligence. Leonardo 40(3), 248–258 (2007)

    CrossRef  Google Scholar 

  3. Laland, K., Brown, G.: Niche Construction, Human Behavior, and the Adaptive-Lag Hypothesis. Evolutionary Anthropology 15(3), 95 (2006)

    CrossRef  Google Scholar 

  4. McCormack, J., Bown, O.: Life’s What You Make: Niche Construction and Evolutionary Art. Applications of Evolutionary Computing, 528–537 (2009)

    Google Scholar 

  5. Reynolds, C.W.: Flocks, Herds, and Schools: A Distributed Behavioral Model. Computer Graphics 21(4), 25–34 (1987)

    CrossRef  Google Scholar 

  6. Unemi, T., Bisig, D.: Music by Interaction among Two Flocking Species and Human. In: Proceedings of the Third International Conference on Generative Systems in Electronic Arts, Melbourne, Australia, pp. 171–179 (2005)

    Google Scholar 

  7. von Mammen, S., Jacob, C.: Evolutionary Swarm Design of Architectural Idea Models. In: GECCO 2008: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Coputation, pp. 143–150. ACM, New York (2008)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Mor, L., Liu, C., von Mammen, S. (2011). Interactive Biomimetic Space: An Interactive Installation to Explore Living Architecture. In: , et al. Applications of Evolutionary Computation. EvoApplications 2011. Lecture Notes in Computer Science, vol 6625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20520-0_37

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  • DOI: https://doi.org/10.1007/978-3-642-20520-0_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20519-4

  • Online ISBN: 978-3-642-20520-0

  • eBook Packages: Computer ScienceComputer Science (R0)