Being Kasimir Malevich
Inhaltsverzeichnis
Reference
Artemis Moroni: Being Kasimir Malevich. In: Generative Art 2003.
DOI
Abstract
Recently, evolutionary art systems have been suggested to simulate some kind of creativity in computers. Here, a reflection on computational creativity is presented, mentioning classic and historical aspects and showing results of evolutionary art systems. Strong and weak features of these kind of systems are approached.
Extended Abstract
Bibtex
Used References
[1] Boden, M. “Creativity and artificial intelligence”, Elsevier Science: Artificial Intelligence 103 pp. 347 – 356, 1998.
[2] Turing, A. M. “Computing Machinery and Intelligence”, Mind, Vol. 59, pp. 433 – 460, 1950.
[3] Todd, P. M. & Werner, G. M. “Frankensteinian Methods for Evolutionary Music Composition” em Griffith, N. & Todd, P. M. (eds) Musical Networks: Parallel Distributed Perception and Performance, Cambridge: The MIT Press, 1999.
[4] Sims, K. “Interactive Evolution of Equations for Procedural Models”, The Visual Computer, 9: 466 – 476, 1993.
[5] Moroni, A., Von Zuben, F.J. & Manzolli, J., “ArTbitration: Human-Machine Interaction in Artistic Domains”, Leonardo, 35(2), pp. 185 – 188, 2002b.
[6] Baluja, S., Pomerleau, D. & Jochem, T. “Towards automated artificial evolution for computer generated images”, Connection Science, 6(2 – 3), 325 – 354, 1994.
[7] Gibson, P. M. & Byrne, J. A. “NEUROGEN, musical composition using genetic algorithms and cooperating neural networks”, London: Proceedings of the IEE Second International Conference on Artificial Neural Networks, pp. 309 – 313, 1991.
[8] Malevich, K. http://www.ibiblio.org/wm/paint/auth/malevich/sup/malevich.black-square.jpg, 1913.
[9] Bentley, P. & Corne, D. (eds.) Creative Evolutionary Systems. San Francisco: Morgan Kaufmann, 2002.
[10] Dawkins, R. The Blind Watchmaker. London: Penguin Books, 1991.
[11] Dartnall, T. (ed.) Artificial Intelligence and Creativity: an Interdisciplinary Approach. Dordrecht: Kluwer, 1994.
[12] Boden, M. “Creativity and artificial intelligence”, Elsevier Science: Artificial Intelligence 103 pp. 347 – 356, 1998.
Links
Full Text
http://www.generativeart.com/on/cic/papersGA2003/a30.htm