Transformer #13: exploration and adaptation of evolution expressed in a dynamic sculpture

  • Authors:
  • Gunnar Tufte;Espen Gangvik

  • Affiliations:
  • The Norwegian University of Science and Technology, Department of Computer and Information Science, Trondheim, Norway;Trondheim Electronic Arts Centre, Trondheim, Norway

  • Venue:
  • Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
  • Year:
  • 2008

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Abstract

Trans〈-〉Former #13 is a dynamic sculpture with a set of equal sub-structures with a behaviour sought that continuously redraws its own positions in space. To achieve the artistic vision the sculpture is considered as a non-uniform 2D cellular automata. By including the adaptive and explorative properties of a Cellular Genetic Algorithm in the expression of the moving sculpture Trans〈-〉Former #13 is capable of generating a continuous emerging behaviour. The global behaviour is a result of a local EA and control system in each sub-structure. The principles of the work are demonstrated in two experimental approaches using 3D simulation.