Programmed life: Evolutionary Imagery of Data Visualization with Aesthetic Moods in terms of Genetic Algorithm

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Hyeri Rhee, Moonryul Jung: Programmed life: Evolutionary Imagery of Data Visualization with Aesthetic Moods in terms of Genetic Algorithm. In: Generative Art 2010.



This paper describes how the generative art represents aesthetic and emotional values of biologically concerned thoughts to a derivative of Genetic Algorithm theory. A series of Programmed Life is a visualization artwork that automatically generates random abstract images by variation, selection, mutation etc. to be used the concept of evolution. The artist gets the motivation from the origin of evolutionary art’s field. Aesthetics matter in this work, the evolutionary visualization is created emotional moods by self- developed, assembled, designed, generated inspired by Color Filed Painting. According to the abstract expressionism that Color Filed Painting involved in, the self- generated images transfer the emotional message to the significant of space. This paper is an attempt to contextualize the notion of the artist by providing a histories and theories. Additionally, it gives an overview of ‘Programmed Life vo1: Birth’ which is mostly focused on creating analog abstraction like digital visualization.

Extended Abstract


Used References

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[5] R. Dawkins, The Blind Watchmaker: Why the Evidence of Evolution Reveals a Universe without Design, W.W.Norton & Company, 1996

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[7] F. Popper. “Visualization, cultural mediation and dual creativity,”, Jul. 2009. [Online]. Available: [Accessed: Oct. 15, 2010]

[8] P. Galanter, “What is Generative Art”, Digital Creativity, Volume 20, Issue 1 & 2 M arch 2009, pages 21 - 46

[9] Victoria Versana,``Database Aesthetics”, University of Minnesota Press, 2007

[10] C. Ware, Information Visualization: Perception For Design, Morgan Kaufmann, 1999.

[11] Processing [online]


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