CGP, Creativity and Art

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche


Steve DiPaola and Nathan Sorenson: CGP, Creativity and Art. In: Cartesian Genetic Programming, Natural Computing Series, pp. 293-307, Springer, 2011.



This chapter looks at evolved art and creativity using Cartesian Genetic Programming (CGP). Besides an overview of evolutionary art, we discuss our work in modelling of artistic creativity based on the notion of contextual focus, which is the capacity for creative individuals to exhibit both intense concentration on a precise goal, as well as broad, associative thought processes, which produce radical departures from convention. We implement our model with Cartesian Genetic Programming, and CGP’s genetic neutrality proves to be essential in reproducing contextual focus. The model is used to generate creative portraits of Darwin, which serve to illustrate the focused and exploratory aspects of the creative process.

Extended Abstract


Used References

Ashmore, L.: (2004). Java evolutionary art software package

Ashmore, L., Miller, J.F.: Evolutionary Art with Cartesian Genetic Programming. Online technical report available from (2004)

Baker, E.: Evolving Line Drawings. In: S. Forrest (ed.) Proc. of the International Conference on Genetic Algorithms, p. 627. Morgan Kaufmann (1993)

Bentley, P., Corne, D. (eds.): Creative Evolutionary Systems. Morgan Kaufmann (2002)

Boden, M.: The Creative Mind: Myths and Mechanisms. Routledge (2003)

Cohen, H.: How to Draw Three People in a Botanical Garden. In: Proc. of AAAI, pp. 846–855. Morgan Kaufmann (1988)

Dartnell, T.: Artificial Intelligence and Creativity: An Introduction. Artificial Intelligence and the Simulation of Intelligence Quarterly 85 (1993)

Dawkins, R.: The Blind Watchmaker. W. W. Norton & Company Inc (1986)

DiPaola, S.: Painterly rendered portraits from photographs using a knowledge-based approach. In: Proc. of the SPIE Human Vision and Imaging. International Society for Optical Engineering (2007)

DiPaola, S., Gabora, L.: Incorporating characteristics of human creativity into an evolutionary art algorithm. Genetic Programming and Evolvable Machines 10, 97–110 (2009) CrossRef

Feinstein, F.: The Nature of Creative Development. Stanford University Press (2006)

Feist, G.J.: The influence of personality on artistic and scientific creativity, pp. 273–296. Cambridge University Press (1999)

Gabora, L.: Revenge of the ‘Neurds’: Characterizing Creative Thought in Terms of the Structure and Dynamics of Memory. Creativity Research Journal 22, 1–13 (2010) CrossRef

Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley (1989)

Koza, J.R., Keane, M., Streeter, M.J.: Evolving inventions. Scientific American 288, 52–59 (2003) CrossRef

Machado, P., Cardoso, A.: NEvAr - The Assessment of an Evolutionary Art Tool. In: G. Wiggins (ed.) Proc. of the AISB Symposium on Creative, Cultural Aspects and Applications of AI and Cognitive Science (2000)

McCormack, J.: Open problems in evolutionary music and art. In: F. Rothlauf, J. Branke, S. Cagnoni, D.W. Corne, R. Drechsler, Y. Jin, P. Machado, E. Marchiori, J. Romero, G.D. Smith, G. Squillero (eds.) Proc. of Applications of Evolutionary Computing, LNCS, vol. 3449, pp. 428–436. Springer (2005) CrossRef

Miller, J.F., Kalganova, T., Lipnitskaya, N., Job, D.: The Genetic Algorithm as a Discovery Engine: Strange Circuits and New Principles. In: AISB Symposium: Proc. Workshop on Creative Evolutionary Systems, pp. 65–74 (1999)

Poincaré, J.H.: The Foundations of Science. Science Press (1913)

Potter, M.A., De Jong, K.A.: Cooperative coevolution: an architecture for evolving coadapted subcomponents. Evolutionary Computation 8, 1–29 (2000) CrossRef

Rooke, S.: Eons of genetically evolved algorithmic images. In: P.J. Bentley, D. Corne (eds.) Creative Evolutionary Systems, pp. 339–365. Morgan Kaufmann (2002) CrossRef

Sims, K.: Artificial evolution for computer graphics. Computer Graphics 25, 310–328 (1991) CrossRef

Todd, S., Latham, W.: Evolutionary Art and Computers. Academic, New York (1994)

Yu, T., Miller, J.F.: Neutrality and the Evolvability of Boolean function landscape. In: J.F. Miller, M. Tomassini, P.L. Lanzi, C. Ryan, A.G.B. Tettamanzi, W.B. Langdon (eds.) Proc. European Conference on Genetic Programming, LNCS, vol. 2038, pp. 204–217. Springer (2001)


Full Text

intern file

Sonstige Links