An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images
Inhaltsverzeichnis
Referenz
Gary Greenfield: An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images. In: EvoMUSART 2014, S. 85-94.
DOI
http://link.springer.com/10.1007/978-3-662-44335-4_8
Abstract
This paper presents the results of two experiments comparing the functioning of a computational system and a group of humans when performing tasks related to art and aesthetics. The first experiment consists of the identification of a painting, while the second one uses the Maitland Graves’s aesthetic appreciation test. The proposed system employs a series of metrics based on complexity estimators and low level features. These metrics feed a learning system using neural networks. The computational approach achieves similar results to those achieved by humans, thus suggesting that the system captures some of the artistic style and aesthetics features which are relevant to the experiments performed.
Extended Abstract
Bibtex
@incollection{
year={2014},
isbn={978-3-662-44334-7},
booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design},
volume={8601},
series={Lecture Notes in Computer Science},
editor={Romero, Juan and McDermott, James and Correia, João},
doi={10.1007/978-3-662-44335-4_8},
title={An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images},
url={http://dx.doi.org/10.1007/978-3-662-44335-4_8 http://de.evo-art.org/index.php?title=An_Indirect_Fitness_Scheme_for_Automated_Evolution_of_Aesthetic_Images },
publisher={Springer Berlin Heidelberg},
author={Greenfield, Gary},
pages={85-94},
language={English}
}
Used References
Baluja, S., Pomerleau, D., Jochem, T.: Towards automated artificial evolution for computer-generated images. Connection Science 6, 325–354 (1994) Bentley, K.: Exploring aesthetic pattern formation. In: Soddu, C. (ed.) Generative Arts Conference Proceedings, pp. 201–213 (2002)
Bentley, P., Corne, D.: Creative Evolutionary Systems. Academic Press, Waltham (2002)
Birkhoff, G.: Aesthetic Measure. Harvard University Press, Cambridge (1933)
Blackwell, A., Dodgson, N.: Computational aesthetics as a a negotiated boundary. Leonardo 43(1), 88–89 (2010)
Colton, S.: Automatic invention of fitness functions with application to scene generation. In: Giacobini, M., et al. (eds.) EvoWorkshops 2008. LNCS, vol. 4974, pp. 381–391. Springer, Heidelberg (2008)
Dawkins, R.: The evolution of evolvability. In: Langton, C. (ed.) Artificial Life, pp. 201–220. Addison-Wesley, Reading (1989)
Dorin, A., Kolb, K.: Creativity refined: bypassing the gatekeepers of approriatness and value. In: McCormack, J., d’Inverno, M. (eds.) Computers and Creativity, pp. 339–360. Springer (2012)
Ekárt, A., Joó, A., Sharma, D., Chalakov, S.: Modeling the underlying principles of human aesthetic preference in evolutionary art. J. Math. and the Arts 6(2-3), 107–124 (2012)
Graf, J., Banzhaf, W.: Interactive evolution of images. In: McDonnell, J., et al. (eds.) Genetic Programming IV: Proceedings of the Fourth Annual Conference on Evolutionary Programming, pp. 53–65. MIT Press (1995)
Greenfield, G.: Art and artificial life — a coevolutionary approach. In: Bedau, M., et al. (eds.) Artificial Life VII Conference Proceedings, pp. 529–536. MIT Press, Cambridge (2000)
Greenfield, G.: Designing metrics for the purpose of aesthetically evaluating images. In: Purgathofer, W., et al. (eds.) Computational Aesthetics 2005, Eurographics Workshop on Computational Aesthetics in Graphics, Visualization and Imaging, pp. 151–158. Eurographics Association (2005)
Greenfield, G.: Evolving aesthetic images using multiobjective optimization. In: Sarker, R., et al. (eds.) Proceedings of the 2003 Congress on Evolutionary Computation, IEEE Press, Canberra (1909)
Greenfield, G.: Genetic learning for biologically inspired aesthetic processes. International Journal on Artificial Intelligence Tools 15(4), 577–598 (2006)
Greenfield, G.: Mathematical building blocks for evolving expressions. In: Sarhangi, R. (ed.) 2000 Bridges Conference Proceedings, pp. 61–70. Central Plain Book Manufacturing, Winfield (2000)
Greenfield, G.: On the origins of the term computational aesthetics. In: Neumann, L., et al. (eds.) Computational Aesthetics 2005, pp. 9–12. Eurographics Association, ACM Press, New York (2005)
Greenfield, G.: Tilings of sequences of co-evolved images. In: Raidl, G.R., et al. (eds.) EvoWorkshops 2004. LNCS, vol. 3005, pp. 427–436. Springer, Heidelberg (2004)
Greenfield, G., Machado, P.: Guest editors’ introduction, Special Issue: Mathematical Models used in Aesthetic Evaluation. J. Math. and the Arts 6(2-3), 59–64 (2012)
den Heijer, E., Eiben, A.E.: Evolving art using multiple aesthetic measures. In: Di Chio, C., et al. (eds.) EvoApplications 2011, Part II. LNCS, vol. 6625, pp. 234–243. Springer, Heidelberg (2011)
Johnson, C.: Finding diverse examples using genetic algorithms. In: John, R., Birkenhead, R. (eds.) Developments in Soft Computing. Advances in Soft Computing, pp. 92–99. Physica/Springer-Verlag (2001)
Johnson, C.: Understanding complex systems through examples: A framework for qualitative example finding. Systems Research and Information Systems 10(3-4), 239–267 (2001)
Jones, M., Agah, A.: Evolution of digital images. IEEE Transactions on Systems, Man, and Cybernetics 12(3), 261–271 (2002)
Kowaliw, T., Dorin, A., McCormack, J.: An empirical exploration of a definition of creative novelty for generative art. In: Korb, K., Randall, M., Hendtlass, T. (eds.) ACAL 2009. LNCS, vol. 5865, pp. 1–10. Springer, Heidelberg (2009)
Kowaliw, T., Dorin, A., McCormack, J.: Promoting creative design in interactive evolutionary computation. IEEE Transactions on Evolutionary Computation 16(4), 523–536 (2012)
Lehman, J., Stanley, K.: Beyond open-endedness: quantifying impressiveness. In: Adami, C., et al. (eds.) Proceedings of the Thirteenth International Conference on Artificial Life (ALIFE XIII). MIT Press (2012)
Machado, P., Romero, J., Santos, M.L., Cardoso, A., Manaris, B.: Adaptive critics for evolutionary artists. In: Raidl, G.R., et al. (eds.) EvoWorkshops 2004. LNCS, vol. 3005, pp. 437–446. Springer, Heidelberg (2004)
Machado, P., Cardoso, A.: All the truth about NEvAr. Artifical Intelligence 16, 101–118 (2002)
Machado, P., Romero, J., Manaris, B.: Experiments in computational aesthetics: an iterative approach to stylistic change in evolutionary art. In: Romero, J., Machado, P. (eds.) The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music, pp. 381–415. Spinger, Berlin (2008)
McCormack, J., d’Inverno, M.: Computers and Creativity. Springer, Berlin (1992)
McCormack, J.: Open problems in evolutionary music and art. In: Rothlauf, F., et al. (eds.) EvoWorkshops 2005. LNCS, vol. 3449, pp. 428–436. Springer, Heidelberg (2005)
Sims, K.: Artificial evolution for computer graphics. In: Proceedings SIGGRAPH 1991, vol. 25, pp. 319–328. ACM Press, New York (1991)
Sprott, J.: Automatic generation of general quadratic map basins. Computers & Graphics 19(2), 309–313 (1995)
Sprott, J.: Automatic generation of iterated function systems. Computers & Graphics 18(3), 417–425 (1994)
Sprott, J.: Automatic generation of strange attractors. Computers & Graphics 17(3), 325–332 (1993)
Sprott, J.: The computer artist and art critic. In: Pickover, C. (ed.) Fractal Horizons, pp. 77–115. St. Martin’s Press, New York (1996)
Staudek, T.: Computer-aided aesthetic evaluation of visual patterns. In: Barrallo, J., et al. (eds.) ISAMA-Bridges 2003 Conference Proceedings, University of Granada, Granada, Spain, pp. 143–150 (2003)
Todd, S., Latham, W.: Evolutionary Art and Computers. Academic Press, London (1992)
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