The Evolving Role of the Artist
Inhaltsverzeichnis
Reference
Jamy Sheridan: The Evolving Role of the Artist. In: Generative Art 2002.
DOI
Abstract
For more than a decade the author has designed and used algorithmic systems to produce artworks that incorporate generative and evolutionary concepts, forms and processes. This work has demonstrated that algorithmic aesthetic processes and products can be effectively created and modulated by both human beings and non-human systems. However, this work has also raised important questions such as:
- What role can the individual human artist play in a cultural economy based upon industrialized generative processes and non-human systems?
- How can artists integrate standardized scientific languages and algorithmic processes into personal visions and expressive languages?
- How can artists capture their personal creative processes and encapsulate these processes in industry standard systems and software; and should they do so?
- How might the generative systems and products created by human and non-human artists function and evolve in the larger social context?
To address these questions, in this paper the author uses examples taken from his past and present artwork to illustrate the opportunities and pitfalls presented by computerized generative aesthetic processes and tools. In addition, the author offers a set of conjectures intended to help clarify issues such as: the evolving role of the artist as a producer of knowledge and form, and the value and appropriate structure of personalized computer languages for artists.
Extended Abstract
Bibtex
Used References
[1] CD: Magic Carpet Music, 1. for Tree of Life: Alpha/Beta/Folding in Proteins, 2. for Dark Matter: DNA of HIV #7. by John Dunn
[2] Each ASCII character in a DOS-based PC has three attributes: a character(C) index, a foreground(F) color index, and a background(B) color index. In Vango each character’s CFB indexes can be accessed independently.
[3] CD: Algorithmic Music From DNA, including HIV DNA #11, HIV DNA #39, HIV DNA #110. by John Dunn
[4] SoftStep 3.0 by John Dunn. Available from Algorithmic Arts at: http://www.algoart.com
[5] From Conjectures on Space, by Jamy Sheridan and Peter Anders, published in Minds, Machines, and Electronic Culture, the proceeding of The Seventh Biennial Symposium on Arts and Technology at the Center for Arts and Technology at Connecticut College, New London, CT, March 1999.
Links
Full Text
http://www.generativeart.com/on/cic/papersGA2002/36.pdf
