Abstract
Creative design is very hard to model or imitate by computers. However, there exist a variety of artificial intelligence techniques that can be applied to highly constrained, well-defined design tasks. Creative evolutionary design [1] is one such group of techniques with reported success. Here we present our genetic programming based method for automatic design of lace knitting stitch patterns. First we devise a genetic representation of knitting charts that accurately reflects their usage for hand knitting the pattern. We then apply a basic evolutionary algorithm for generating the patterns, where the key of success is evaluation. We propose automatic evaluation of the patterns, without interaction with the user. We present some patterns generated by the method and then discuss further possibilities for bringing automatic evaluation closer to human evaluation.
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References
P. Bentley and D. Corne, editors. Creative Evolutionary Systems. Morgan Kaufmann, 2001.
M. Boden. Artificial Intelligence and Natural Man. MIT Press, 1987.
C. M. Eckert and M. K. Stacey. Adaptation of sources of inspiration in knitwear design. Creativity Research Journal, 15(4):355–384, 2003. 274 Richard Ellis, Tony Allen and Miltos Petridis (Eds)
A. Ekárt and S. Németh. Maintaining the diversity of genetic programs. In J. Foster et al., editors, Proceedings of the 5th European Genetic Programming Conference, volume 2278 of LNCS, pages 162–171, 2002.
A. Fraser. GPC++. http://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/ genetic/gp/systems/gpcpp/0.html, 1994. University of Salford, UK.
J. S. Gero and M. L. Maher, editors. Computational and Cognitive Models of Creative Design VI. Key Centre of Design Computing and Cognition, University of Sydney, 2005.
J. R. Koza. Genetic Programming: On the Programming of Computers by Means of Natural Selection. The MIT Press, Cambridge, Massachusetts, 1992.
P. Machado, J. Romero, M. Ares, A. Cardoso, and B. Manaris. Adaptive critics for evolutionary artists. In 2nd European Workshop on Evolutionary Music and Art, Coimbra, Portugal, April 2004.
M. Meiner and B. Eberhardt. The art of knitted fabrics, realistic & physically based modelling of knitted patterns. In N. Ferreira and M. Gbel, editors, Euro-Graphics, volume 17(3). Blackwell Publishers, 1998.
R. Sosa and J. S. Gero. A computational study of creativity in design. AIEDAM, 19(4):229–244, 2005.
L. Stanfield. The new knitting stitch library. Quantum Publishing, 2006.
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Ekárt, A. (2008). Genetic Programming for the Design of Lace Knitting Stitch Patterns. In: Ellis, R., Allen, T., Petridis, M. (eds) Applications and Innovations in Intelligent Systems XV. SGAI 2007. Springer, London. https://doi.org/10.1007/978-1-84800-086-5_19
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DOI: https://doi.org/10.1007/978-1-84800-086-5_19
Publisher Name: Springer, London
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