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Aesthetic Fitness and Artificial Evolution for the Selection of Imagery from the Mythical Infinite Library

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Advances in Artificial Life (ECAL 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2159))

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Abstract

Aesthetic selection and artificial evolution have been two of the more successful companions introduced to the toolbox of electronic image-makers in recent years. This paper examines the niche in which this technique, often associated with the simulation of biological processes, has positioned itself and some of the reasons for its success. Some remarks concerning the meaningfulness of a user’s search for images through a genetic space are made and the relationship of this search to traditional artistic practice is examined. Suggestions on how to link other Artificial Life techniques, especially those involving self-organizing and self-assembling systems, with aesthetic evolution and electronic art are also made.

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Author information

Authors and Affiliations

  1. School of Computer Science and Software Engineering, Monash University, Clayton, Australia, 3800

    Alan Dorin

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  1. Alan Dorin
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Editor information

Editors and Affiliations

  1. Faculty of Philosophy and Science Institute of Computer Science, Silesian University, 74601, Opava, Czech Republic

    Jozef Kelemen  & Petr Sosík  & 

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Dorin, A. (2001). Aesthetic Fitness and Artificial Evolution for the Selection of Imagery from the Mythical Infinite Library. In: Kelemen, J., Sosík, P. (eds) Advances in Artificial Life. ECAL 2001. Lecture Notes in Computer Science(), vol 2159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44811-X_76

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  • DOI: https://doi.org/10.1007/3-540-44811-X_76

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42567-0

  • Online ISBN: 978-3-540-44811-2

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