The Problem with Evolutionary Art Is
Inhaltsverzeichnis
Reference
Galanter, Philip: The Problem with Evolutionary Art Is. In: EvoMUSART 2010, S. 321-330.
DOI
http://link.springer.com/10.1007/978-3-642-12242-2_33
Abstract
Computational evolutionary art has been an active practice for at least 20 years. Given the remarkable advances in that time in other realms of computing, including other forms of evolutionary computing, for many a vague feeling of disappointment surrounds evolutionary art. Aesthetic improvement in evolutionary art has been slow, and typically achieved in ways that are not widely generalizable or extensible. So what is the problem with evolutionary art? And, frankly, why isn’t it better? In this paper I respond to these questions from my point of view as a practicing artist applying both a technical and art theoretical understanding of evolutionary art. First the lack of robust fitness functions is considered with particular attention to the problem of computational aesthetic evaluation. Next the issue of genetic representation is discussed in the context of complexity and emergence. And finally, and perhaps most importantly, the need for art theory around evolutionary and generative art is discussed, and a theory that stands typical evolutionary art on its head is proposed.
Extended Abstract
Bibtex
@incollection{
year={2010},
isbn={978-3-642-12241-5},
booktitle={Applications of Evolutionary Computation},
volume={6025},
series={Lecture Notes in Computer Science},
editor={Di Chio, Cecilia and Brabazon, Anthony and Di Caro, GianniA. and Ebner, Marc and Farooq, Muddassar and Fink, Andreas and Grahl, Jörn and Greenfield, Gary and Machado, Penousal and O’Neill, Michael and Tarantino, Ernesto and Urquhart, Neil},
doi={10.1007/978-3-642-12242-2_33},
title={The Problem with Evolutionary Art Is ...},
url={http://dx.doi.org/10.1007/978-3-642-12242-2_33 http://de.evo-art.org/index.php?title=The_Problem_with_Evolutionary_Art_Is },
publisher={Springer Berlin Heidelberg},
author={Galanter, Philip},
pages={321-330},
language={English}
}
Used References
Todd, S., Latham, W.: Evolutionary art and computers, 224 p., 32 p. of plates, Academic Press, London (1992)
Fogel, L.J.: Intelligence through simulated evolution: forty years of evolutionary programming. Wiley series on intelligent systems, vol. Xii, p. 162. Wiley, New York (1999)
Lewis, M.: Evolutionary Visual Art and Design, in The art of artificial evolution: a handbook on evolutionary art and music. In: Romero, J., Machado, P. (eds.), pp. 3–37. Springer, Berlin (2008)
Werner, G.M., Todd, P.M.: Frankensteinian Methods for Evolutionary Music Composition. In: Griffith, N., Todd, P.M. (eds.) Musical networks: Parallel distributed perception and performance. MIT Press/Bradford Books, Cambridge (1998)
Takagi, H.: Interactive evolutionary computation: Fusion of the capabilities of EC optimization and human evaluation. Proceedings of the IEEE 89(9), 1275–1296 (2001) CrossRef
Yuan, J.: Large population size IGAs with individuals’ fitness not assigned by user. In: Huang, D.-S., Wunsch II, D.C., Levine, D.S., Jo, K.-H. (eds.) ICIC 2008. LNCS (LNAI), vol. 5227, pp. 267–274. Springer, Heidelberg (2008) CrossRef
Draves, S.: The electric sheep screen-saver: A case study in aesthetic evolution. In: Rothlauf, F., Branke, J., Cagnoni, S., Corne, D.W., Drechsler, R., Jin, Y., Machado, P., Marchiori, E., Romero, J., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2005. LNCS, vol. 3449, pp. 458–467. Springer, Heidelberg (2005)
Ross, A.: Poll stars. Artforum International 33(5) (1995)
Aldiss, B.: The mechanical Turk - The true story of the chess-playing machine that changed the world. In: Tls-the Times Literary Supplement, vol. (5170), p. 33 (2002)
Saunders, R., Gero, J.S.: Curious agents and situated design evaluations. Ai Edam-Artificial Intelligence for Engineering Design Analysis and Manufacturing 18(2), 153–161 (2004)
Greenfield, G.: Robot paintings evolved using simulated robots. In: Rothlauf, F., Branke, J., Cagnoni, S., Costa, E., Cotta, C., Drechsler, R., Lutton, E., Machado, P., Moore, J.H., Romero, J., Smith, G.D., Squillero, G., Takagi, H. (eds.) EvoWorkshops 2006. LNCS, vol. 3907, pp. 611–621. Springer, Heidelberg (2006) CrossRef
Jaskowski, W.: Learning and recognition of hand-drawn shapes using generative genetic programming. In: Giacobini, M. (ed.) EvoWorkshops 2007. LNCS (LNAI, LNBI), vol. 4448, pp. 281–290. Springer, Heidelberg (2007)
Fornari, J.: Creating soundscapes using evolutionary spatial control. In: Giacobini, M. (ed.) EvoWorkshops 2007. LNCS (LNAI, LNBI), vol. 4448, pp. 517–526. Springer, Heidelberg (2007)
Ciesielski, V.: Evolution of animated photomosaics. In: Giacobini, M. (ed.) EvoWorkshops 2007. LNCS (LNAI, LNBI), vol. 4448, pp. 498–507. Springer, Heidelberg (2007)
McDermott, J., Griffith, N.J.L., O’Neill, M.: Toward user-directed evolution of sound synthesis parameters. In: Rothlauf, F., Branke, J., Cagnoni, S., Corne, D.W., Drechsler, R., Jin, Y., Machado, P., Marchiori, E., Romero, J., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2005. LNCS, vol. 3449, pp. 517–526. Springer, Heidelberg (2005)
Khalifa, Y., Foster, R.: A two-stage autonomous evolutionary music composer. In: Rothlauf, F., Branke, J., Cagnoni, S., Costa, E., Cotta, C., Drechsler, R., Lutton, E., Machado, P., Moore, J.H., Romero, J., Smith, G.D., Squillero, G., Takagi, H. (eds.) EvoWorkshops 2006. LNCS, vol. 3907, pp. 717–721. Springer, Heidelberg (2006) CrossRef
Manaris, B., et al.: Developing fitness functions for pleasant music: Zipf’s law and interactive evolution systems. In: Rothlauf, F., Branke, J., Cagnoni, S., Corne, D.W., Drechsler, R., Jin, Y., Machado, P., Marchiori, E., Romero, J., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2005. LNCS, vol. 3449, pp. 498–507. Springer, Heidelberg (2005)
Mori, T., Endou, Y., Nakayama, A.: Fractal analysis and aesthetic evaluation of geometrically overlapping patterns. Textile Research Journal 66(9), 581–586 (1996) CrossRef
Taylor, R.P., Chaos, F.: Nature: a new look at Jackson Pollock. Fractals Research, Eugene (2006)
Birkhoff, G.D.: Aesthetic measure, vol. xii, pp. 2 l., 3-225. Harvard University Press, Cambridge (1933)
Machado, P.: Computing aesthetics. In: de Oliveira, F.M. (ed.) SBIA 1998. LNCS (LNAI), vol. 1515, pp. 219–228. Springer, Heidelberg (1998)
Machado, P., Romero, J., Manaris, B.: Experiments in Computational Aesthetics. In: Romero, J., Machado, P. (eds.) The art of artificial evolution: a handbook on evolutionary art and music. Springer, Berlin (2008)
Phon-Amnuaisuk, S.: Evolving music generation with SOM-fitness genetic programming. In: Giacobini, M. (ed.) EvoWorkshops 2007. LNCS (LNAI, LNBI), vol. 4448, pp. 557–566. Springer, Heidelberg (2007)
Gedeon, T.D.: Neural network for modeling esthetic selection. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds.) ICONIP 2007, Part II. LNCS (LNAI, LNBI), vol. 4985, pp. 666–674. Springer, Heidelberg (2008) CrossRef
Machado, P., et al.: Partially Interactive Evolutionary Artists. New Generation Computing 23(2), 143–155 (2005) CrossRef
Machwe, A.T.: Towards an interactive, generative design system: Integrating a ’build and evolve’ approach with machine learning for complex freeform design. In: Giacobini, M. (ed.) EvoWorkshops 2007. LNCS (LNAI, LNBI), vol. 4448, pp. 449–458. Springer, Heidelberg (2007)
Martindale, C.: A Neural-Network Theory of Beauty. In: Martindale, C., Locher, P., Petrov, V.M. (eds.) Evolutionary and neurocognitive approaches to aesthetics, creativity, and the arts, pp. 181–194. Baywood Pub., Amityville (2007)
Hawkins, J., Blakeslee, S.: On intelligence, 1st edn., 261 p. Times Books, New York (2004)
Watanabe, S.: Pigeons can discriminate “good” and “bad” paintings by children. Animal Cognition (2009)
Varnedoe, K., et al.: Jackson Pollock. In: Abrams, H.N. (Distributed by), 336 p. Museum of Modern Art, New York (1998)
Read, H.E., Stangos, N.: The Thames and Hudson dictionary of art and artists. In: Rev., expanded and updated ed. World of art, 384 p. Thames and Hudson, New York (1994)
Shannon, C.E.: A mathematical theory of communication. The Bell System Technical Journal 27(3), 379–423 (1948)
Kolmogorov, A.N.: Three approaches to the quantitative definition of information. Problems in Information Transmission 1, 1–7 (1965)
Solomonoff, R.J.: A formal theory of inductive inference, Part I and Part II. Information and Control 7, 1–22, 224-254(1964)
Chaitin, G.J.: On the length of programs for computing finite binary sequences. Journal of the ACM (13), 547–569 (1966)
Casti, J.L.: Complexification: explaining a paradoxical world through the science of surprise, 1st edn., vol. xiv, 320 p. HarperCollins, New York (1994)
Bentley, P., Corne, D.: Creative evolutionary systems, vol. xxxi, 576 p., 8 p. of plates. Morgan Kaufmann/Academic Press (2002)
Carroll, N.: Theories of art today, vol. vi, 368 p. University of Wisconsin Press, Madison (2000)
McCormack, J.: Facing the Future: Evolutionary Possibilities for Human-Machine Creativity. In: Romero, J., Machado, P. (eds.) The art of artificial evolution: a handbook on evolutionary art and music, pp. 417–451. Springer, Berlin (2008)
Whitelaw, M.: Metacreation: art and artificial life, vol. x, 281 p. MIT Press, Cambridge (2004)
Galanter, P.: What is Generative Art? Complexity theory as a context for art theory. In: International Conference on Generative Art. Generative Design Lab. Milan Polytechnic, Milan (2003)
Galanter, P.: What is Complexism? Generative Art and the Cultures of Science and the Humanities. In: International Conference on Generative Art. Generative Design Lab, Milan Polytechnic, Milan (2008)
Galanter, P.: Complexism and the role of evolutionary art. In: Romero, J., Machado, P. (eds.) The art of artificial evolution: a handbook on evolutionary art and music, pp. 311–332. Springer, Berlin (2008)
Greenberg, C., O’Brian, J.: The collected essays and criticism. University of Chicago Press, Chicago (1986)
Kauffman, S.A.: At home in the universe: the search for laws of self-organization and complexity, vol. viii, p. 321. Oxford University Press, New York (1995)
