Xepa: Intelligent Sculptures as Experimental Platforms for Computational Aesthetic Evaluation

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Reference

Philip Galanter: Xepa: Intelligent Sculptures as Experimental Platforms for Computational Aesthetic Evaluation. Proceedings of the IEEE VIS Arts Program (VISAP), IEEE, 2013.

DOI

Abstract

In recent years artists have created an explosion of generative art and physical computing installations using the systems studied in complexity science, and leveraging open source technologies such as the Processing programming language and Arduino microcontroller hardware. By using genetic algorithms, reaction diffusion systems, cellular automita, artificial life, deterministic chaos, fractals, Lindenmayer systems, and more artists can generate a seemingly unending stream of visuals and sound. But while these systems offer incredible quantity and variation, they usually lack any self-critical function and simply stream forth without discrimination. This is most apparent in genetic or evolutionary systems where the fitness function is typically not automated and requires interactive selection by the human artist/operator.

The next phase of development seems likely to be the study and implementation of computational aesthetic evaluation. Only when computer-based systems are both generative and self-critical will they be worthy of consideration as being truly creative. XEPA is the name of both the art project and individual intelligent sculptures that display animated colored light and produce music and sound. XEPA is an acronym for “XEPA Emerging Performance Artist.” Each XEPA “watches” the others (via data radio) and modifies its own aesthetic behavior to create a collaborative improvisational performance. In doing so each XEPA independently evaluates the aesthetics of the other sculptures, infers a theme or mood being attempted, and then modifies its own aesthetics to better reinforce that theme. Each performance is unique, and a wide variety of themes and moods can be explored.

Extended Abstract

Bibtex

Used References

[1] P. Galanter, "What is Generative Art? Complexity theory as a context for art theory," in International Conference on Generative Art, Milan, Italy, 2003.

[2] C. E. Shannon, "A mathematical theory of communication.," The Bell System Technical Journal, vol. 27, pp. 379--423, 1948 1948.

[3] M. Bense, "The Projects of Generative Aesthetics," in Cybernetics, art, and ideas, J. Reichardt, Ed., ed Greenwich, Conn.,: New York Graphic Society, 1971, p. 207 p.

[4] M. Balter, "From a Modern Human's Brow - or Doodling?," Science, vol. 295, pp. 247-248, January 11 2002.

[5] S. M. Schwanauer and D. A. Levitt, Machine models of music. Cambridge, Mass.: MIT Press, 1993.

[6] B. B. Mandelbrot, The fractal geometry of nature, Updated and augment ed. San Francisco: W.H. Freeman, 1983.

[7] P. Prusinkiewicz, A. Lindenmayer, and J. Hanan, The algorithmic beauty of plants. New York: Springer-Verlag, 1990.

[8] G. Turk, "Generating textures on arbitrary surfaces using reaction- diffusion," presented at the Proceedings of the 18th annual conference on Computer graphics and interactive techniques, 1991.

[9] H. Meinhardt, P. Prusinkiewicz, and D. R. Fowler, The algorithmic beauty of sea shells, 2nd enlarged ed. Berlin ; New York: Springer, 1998.

[10] M. Whitelaw, Metacreation : art and artificial life. Cambridge, Mass.: MIT Press, 2004.

[11] P. Bentley and D. Corne, Creative evolutionary systems. San Francisco, CA, San Diego, CA: Morgan Kaufmann Academic Press, 2002.

[12] M. A. Boden, The creative mind : myths and mechanisms, 2nd ed. London ; New York: Routledge, 2004.

[13] P. M. Todd and G. M. Werner, "Frankensteinian Methods for Evolutionary Music Composition," in Musical networks: Parallel distributed perception and performance, N. Griffith and P. M. Todd, Eds., ed Cambridge, MA: MIT Press/Bradford Books, 1998.

[14] [P. Galanter, "The Problem with Evolutionary Art Is," in Applications of Evolutionary Computation, Pt Ii, Proceedings, Berlin, 2010, pp. 321-330.

[15] P. Galanter, "Computational Aesthetic Evaluation: Past and Future," in Computers and Creativity, J. McCormack and M. d'Inverno, Eds., ed Berlin: Springer, 2012.

[16] G. D. Birkhoff, Aesthetic measure. Cambridge, Mass.,: Harvard University Press, 1933.

[17] M. Livio, The golden ratio : the story of phi, the world's most astonishing number, 1st trade pbk. ed. New York: Broadway Books, 2003.

[18] G. K. Zipf, Human behavior and the principle of least effort; an introduction to human ecology. Cambridge, Mass.,: Addison- Wesley Press, 1949.

[19] R. F. Voss and J. Clarke, "1-F-Noise in Music and Speech," Nature, vol. 258, pp. 317-318, 1975.

[20] A. A. Moles, Information theory and esthetic perception. Urbana,: University of Illinois Press, 1966.

[21] P. Machado and A. Cardoso, "All the Truth About NEvAr," Applied Intelligence, vol. 16, pp. 101-118, 2002.

[22] K. Sims, "Artificial Evolution For Computer-Graphics," Siggraph 91 Conference Proceedings, vol. 25, pp. 319-328, 1991.

[23] R. Arnheim, Art and visual perception: a psychology of the creative eye, New, expanded and revised ed. Berkeley: University of California Press, 1974.

[24] D. E. Berlyne, Aesthetics and psychobiology. New York,: Appleton-Century-Crofts, 1971.

[25] C. Martindale, "Relationship of preference judgements to typicality, novelty, and mere exposure," Empirical Studies of the Arts, vol. 6, pp. 79-96, 1988.

[26] C. Martindale, "A Neural-Network Theory of Beauty," in Evolutionary and neurocognitive approaches to aesthetics, creativity, and the arts, C. Martindale , P. Locher , and V. M. Petrov Eds., ed Amityville, N.Y.: Baywood, 2007, pp. 181-194.


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