| id |
sigradi2012_139 |
| authors |
Darcan, Tugçe; Gürer, Ethem |
| year |
2012 |
| title |
A Poe(Gene)tic Algorithm Method to Compute Gradient Spatiality |
| source |
SIGraDi 2012 [Proceedings of the 16th Iberoamerican Congress of Digital Graphics] Brasil - Fortaleza 13-16 November 2012, pp. 24-28 |
| summary |
Related to the very common use of contemporary evolutionary methodologies, metaphorical relations coming out between architectural design and different structures (open and closed) and also new forms of spatiality are now being discussed. We are trying in this research, to query such a relationship between design and poetic language. In this regard, this paper concerns how haiku, well-known Japanese poem, may turn out to be an unfolding layer within the act of designing, by standing as a sort of syntactic generator. Genetic algorithms are benefited to compute the existing formalism in haiku structure, which gives rise to gradient spatiality. |
| keywords |
evolutionary design; genetic algorithms; poetic language; haiku; gradient spatiality |
| series |
SIGRADI |
| email |
|
| full text |
 file.pdf (547,280 bytes) |
| references |
Content-type: text/plain
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Antoniades, A. C. (1992)
 Poetics of Architecture: Theory of Design
, New York: Van Nostrand Reinhold
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Gürer, E., Ça_da_, G. (2009)
An emergent form generation method for supporting conceptual design
, Ça_da_, G., Çolako_lu, B. (Eds.), Proceedings of the eCAADe 2009 (pp. 167-172). Turkey
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Koza, J. (1992)
Genetic programming: a paradigm for genetically breeding computer population of computer programs to solve problems
, Cambridge, MA: MIT Press
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Whitley, D. (2001)
An overview of evolutionary algorithms: practical issues and common pitfalls
, Information and Software Technology, 43, 817-831
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| last changed |
2016/03/10 09:50 |
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