Abstract
We investigate the automatic construction of visual scenes via a hybrid evolutionary/hill-climbing approach using a correlation-based fitness function. This forms part of The Painting Fool system, an automated artist which is able to render the scenes using simulated art materials. We further describe a novel method for inventing fitness functions using the HR descriptive machine learning system, and we combine this with The Painting Fool to generate and artistically render novel scenes. We demonstrate the potential of this approach with applications to cityscape and flower arrangement scene generation.
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References
Boden, M.: The Creative Mind. Weidenfeld and Nicolson (1990)
Buchanan, B.: Creativity at the meta-level: Presidential address at AAAI-2000. AI Magazine 22(3), 13–28 (2001)
Colton, S.: Refactorable numbers - a machine invention. Journal of Integer Sequences 2 (1999)
Colton, S.: Automated Theory Formation in Pure Mathematics. Springer, Heidelberg (2002)
Colton, S., Bundy, A., Walsh, T.: Automatic invention of integer sequences. In: Proceedings of the Seventeenth National Conference on Artificial Intelligence (2000)
Colton, S., Muggleton, S.: Mathematical applications of Inductive Logic Programming. Machine Learning 64, 25–64 (2006)
Maher, M.L., Poon, J.: Co-evolution of the fitness function and design solution for design exploration. In: IEEE International Conference on Evolutionary Computation (1995)
McCorduck, P.: AARON’s Code: Meta-Art, Artificial Intelligence, and the Work of Harold Cohen. W.H. Freeman and Company, New York (1991)
Ritchie, G.: Assessing creativity. In: Wiggins, G. (ed.) Proceedings of the AISB 2001 Symposium on AI and Creativity in Arts and Science, pp. 3–11 (2001)
Sorge, V., Meier, A., McCasland, R., Colton, S.: Automatic construction and verification of isotopy invariants. In: Journal of Automated Reasoning (2007) (forthcoming)
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© 2008 Springer-Verlag Berlin Heidelberg
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Colton, S. (2008). Automatic Invention of Fitness Functions with Application to Scene Generation. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2008. Lecture Notes in Computer Science, vol 4974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78761-7_41
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DOI: https://doi.org/10.1007/978-3-540-78761-7_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78760-0
Online ISBN: 978-3-540-78761-7
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