Abstract
This document reports on a case study using a novel approach to teaching generative design systems. The approach extends Context Free, a popular design grammar for producing 2D imagery, to support parametric and evolutionary design. We present some of the challenges that design students have typically faced when learning about generative systems. We describe our solution to providing students with a progressive learning experience from design grammars, through parametric design, to evolutionary design. We conclude with a discussion of the benefits of our approach and some directions for future developments.
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References
Glancey, J.: Secrets of the Birds Nest, The Guardian Online (last accessed January 2009), http://www.guardian.co.uk/artanddesign/2008/feb/11/architecture.chinaarts2008
Coyne, C.: Context Free Design Grammar (last accessed January 2009), http://www.chriscoyne.com/cfdg/
Horigan, J., Lentczner, M.: Context Free (last accessed January 2009), http://www.contextfreeart.org/
Lapré, L.: Lparser (last accessed January 2009), http://members.ziggo.nl/laurens.lapre/lparser.html
Lintermann, B., Deussen, O.: Xfrog (last accessed January 2009), http://www.xfrog.com/
Reas, C., Fry, B.: Processing: A Programming Handbook for Visual Designers and Artists. MIT Press, Cambridge (2007)
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© 2009 Springer-Verlag Berlin Heidelberg
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Saunders, R., Grace, K. (2009). Teaching Evolutionary Design Systems by Extending “Context Free”. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_67
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DOI: https://doi.org/10.1007/978-3-642-01129-0_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01128-3
Online ISBN: 978-3-642-01129-0
eBook Packages: Computer ScienceComputer Science (R0)