SBArt4 for an Automatic Evolutionary Art

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche


Tatsuo Unemi: SBArt4 for an Automatic Evolutionary Art. Proceedings of the IEEE World Congress on Computational Intelligence (WCCI 2012 – IEEE CEC 2012), June 10–15, Brisbane, QLD, Australia, pp. 2014–2021.



Owing to recent innovations in computer hardware, it has become possible to implement automated evolution to produce interesting abstract images based on computational aesthetic measures for fitness criteria within a feasible time using a personal computer. The present paper proposes extensions of aesthetic measures for the domain of evolutionary art, for both images and animations. Using two small computers connected via Ethernet, we realized an installation of automatic video art that continuously displays a series of new interesting animations on the screen by selecting individuals of higher fitness from an evolving population in real time. The art project also includes automated creation of animations that are accessible over the Internet. The project involves the automatic production of ten 20-second movies everyday and posting the digest movie to a popular web site for movie sharing.

Extended Abstract


Used References

H. Takagi, "Interactive evolutionary computation: Fusion of the capacities of EC optimization and human evaluation," Proceesings of the IEEE, vol. 89, no. 9, pp. 1275-1296, 2001.

H. Takagi and H. Iba, "Interactive evolutionary computation," New Generation Computing, vol. 23, no. 2, pp. 113-114, 2005.

K. Sims, "Artificial evolution for computer graphics," Computer Graphics, vol. 25, pp. 319-328, 1991.

H. Cohen, "The further exploits of AARON, painter," Stanford Electronic Humanities Review, vol. 4, no. 2, 1995.

L. Neumann, M. Sbert, B. Gooch, and W. Purgathofer, Eds., Computational Aesthetics 2005: Eurographics Workshop on Computational Aesthetics in Graphics, Visualization and Imaging, May 2005.

P. Machado and A. Cardoso, "All the truth about NEvAr," Applied Intelligence, vol. 16, pp. 101-118, 2002.

E. den Heijer and A. E. Eiden, "Using aesthetic measures to evolve art," in WCCI 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010, pp. 4533-4540.

T. Unemi, "Simulated breeding: A framework of breeding artifacts on the computer," in Artificial Models in Software, 2nd ed., M. Komosinski and A. A. Adamatzky, Eds. London, UK: Springer-Verlag, 2009, ch. 12.

-, "SBArt4 - breeding abstract animations in realtime," in WCCI 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010, pp. 4004-4009.

J. Rigau, M. Feixas, and M. Sbert, "Informational aesthetics measures," IEEE Computer Graphics and Applications, vol. 28, no. 2, pp. 24-34, 2008.

K. Matkovic, L. Neumann, A. Neumann, T. Psik, and W. Purgathofer, "Global contrast factor - a new approach to image contrast," in Computational Aesthetics 2005, 2005, pp. 159-168.

J.-M. Jolion, "Images and Benford's law," Journal of Mathematical Imaging and Vision, vol. 14, no. 1, pp. 73-81, 2001.

G. K. Zipf, Human behavior and the principle of least effort. New York: Hafner Pub. Co., 1949.

H. Satoh, I. Ono, and S. Kobayashi, "A new generation alternation model of genetic algorithms and its assessment," Journal of Japanese Society for Artificial Intelligence, vol. 12, no. 5, pp. 734-744, 1997.

T. Unemi, "SBArt4 as automatic art and live performance tool," in 14th Generative Art Conference, Rome, Italy, December 2011, pp. 436-449.


Full Text

[extern file]

intern file

Sonstige Links