The void series – generative art using regulatory genes

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Reference

Gary Greenfield: The void series – generative art using regulatory genes. In: Soddu, C. (ed.) Proceedings of the Seventh International Conference and Exhibition on Generative Art, Generative Art 2004, Alea Design, vol. 1, pp. 70–77 (2004).

DOI

Abstract

We apply a gene regulator model to aggregations of cells in order to generate a series of two-dimensional abstract art works titled “The Void Series”. Images in “The Void Series” arise from grids consisting of two different types of cells. Cells in the grid undergo a period of morphological development following which concentrations of three of their four so-called transcription factors are interpreted as RGB color components in order to create a finished piece. Cell morphogenesis is governed by both a gene regulatory network and interactions among neighboring cells. By initially activating only the outermost cells of the grid, and by controlling for the length of time that cells are allowed to develop, we obtain an inward spiral of alive cells surrounding an inner core of dormant cells. This means an activation boundary is always present. The activation boundary reveals the changes that occur within individual cells as they undergo morphological development and symbolizes the extent to which we understand morphogenesis, while the inner void symbolizes the extent to which we do not understand morphogenesis. A genetic algorithm is used to evolve and select those images offering the greatest aesthetic impact.

Extended Abstract

Bibtex

Used References

[1] P. Eggenberger, Evolving morphologies of simulated 3d organisms based on differential gene expression, Proceedings of the Fourth European Conference on Artificial Life (ECAL97), 1997, 205-213.

[2] K. Fleischer, A Multiple-Mechanism Developmental Model for Defining Self-Organizing Structures, PhD Dissertation, Caltech, Department of Computation and Neural Systems, June 1995.

[3] K. Fleischer et al, Cellular texture generation, Computer Graphics Proceedings, Annual Conference Series, 1995, ACM SIGGRAPH, 239-248.

[4] K. Fleischer, Cells: Simulations of Multicellular Development, animation shown in Siggraph 94 Electronic Theatre, in Siggraph Video Review, 1994.

[5] K. Fleischer, Investigations with a multicellular developmental model, Artificial Life V Conference Proceedings, 1996, 229-236.

[6] K. Fleischer, Spike, computer image exhibited in ACM Siggraph 95 Art Gallery, in Siggraph Visual Proceedings, 1995. http://www.siggraph.org/artdesign/gallery/S95/Fleischer.html

[7] K. Fleischer, Who's Driving? Control Issues for Generative Media, keynote presentation, First Iteration : a conference on generative systems in the electronic arts, CD-ROM “D”, Dorin and McCormack (eds), Melbourne, Australia, December, 1999. http://www.csse.monash.edu.au/~iterate/FI/confProgram.html

[8] R. Hoar, J. Penner, C. Jacob, Transcription and evolution of a virtual bacteria culture, 2003 Congress on Evolutionary Computation Proceedings, IEEE Press, 2003, 54-61.

[9] L. Feijs, Divisions of the plane by computer: another way of looking at Mondrian's nonfigurative compositions, Leonardo, Vol. 27, No. 3, 2004, 217-222.


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