| id |
acadia11_284 |
| authors |
Ogrydziak; Luke |
| year |
2011 |
| title |
Tetrahedron Cloud |
| source |
ACADIA 11: Integration through Computation [Proceedings of the 31st Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA)] [ISBN 978-1-6136-4595-6] Banff (Alberta) 13-16 October, 2011, pp. 284-291 |
| doi |
https://doi.org/10.52842/conf.acadia.2011.284
|
| summary |
The research project, tetrahedron cloud, explores agent-based stochastic behavior as a design tool. It investigates the possibilities for producing volumetric tetrahedral meshes based on the interactions of individual stochastic agents. The research situates itself at the intersection of the visual arts, the physical sciences, and computer science. The basic interest in stochastics comes from the visual arts; the growth simulation approach is borrowed from the natural sciences; and the use of a tetrahedral mesh within C++ comes from computer science. But more generally, the project focuses on architecture’s ongoing engagement with stochastic systems. By embedding extremely specific tendencies within an agent’s behavior, while also allowing for stochastic variation, we can create larger systems that are both in and out of our “control”. This sidesteps the typical limitations of many computational geometry and parametric methods, where there is often an overly deterministic relationship between the input and output of a given system. Such a shift from optimization to behavior inevitably brings up troubling questions of style. Abandoning the search for a “best” solution, or even the articulation of the criteria for such a task, re-opens computational architecture at its deepest levels as a site for design speculation. |
| series |
ACADIA |
| type |
normal paper |
| email |
|
| full text |
 file.pdf (2,896,598 bytes) |
| references |
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