| id |
acadia08_102 |
| authors |
Beaman, Michael |
| year |
2008 |
| title |
Bio-complexity: Instructing with Relational Generatives |
| doi |
https://doi.org/10.52842/conf.acadia.2008.102
|
| source |
Silicon + Skin: Biological Processes and Computation, [Proceedings of the 28th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) / ISBN 978-0-9789463-4-0] Minneapolis 16-19 October 2008, 102-109 |
| summary |
This paper will discuss the use of complex systems in analyzing biological precedence of self-organizing, self-stabilizing and emergent phenomenon. The use of complex biological systems will be used to define relational models that avoid issues of scale. Scalability (the ability to traverse scales) will be presented as a relational construct through the use of scope, not scale. The analysis of biological formation and organization as a relational model defined by scope will be presented as a generative in forming design strategies and solutions and will be illustrated in four undergraduate-level architecture studio projects. |
| keywords |
Complexity; Generative; Scripting; Self-Organization; Simulation |
| series |
ACADIA |
| full text |
 file.pdf (2,053,189 bytes) |
| references |
Content-type: text/plain
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Anderson, P. W. (1972)
 More is Different
, Science, New Series, Vol. 177, No. 4047. (Aug. 4, 1972), pp.393-396
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Principles of the self-organizing system
, Principles of Self-Organization: Transactions of the University of Illinois Symposium, H. Von Foerster and G. W. Zopf, Jr. (eds.), Pergamon Press: London, UK, pp. 255-278
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, Oxford University Press, N.Y.
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Kauffman, S. A (1993)
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, 1993, Oxford University Press, N.Y.
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Ryan, A. J. (2006)
Emergence is Coupled to Scope, not Level
, Complexity (arXiv)
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| last changed |
2022/06/07 07:54 |
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