id |
acadia11_360 |
authors |
Sprecher, Aaron |
year |
2011 |
title |
Homeorrhetism: Few Observations on the Nature of Experimentation in Computational Architecture |
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. 360-361 |
doi |
https://doi.org/10.52842/conf.acadia.2011.360
|
summary |
From the point of view of computation, concerns over the nature of an experiment raise questions that often belong to a deductive reasoning; in other words the possibility to understand the world in terms of established principles and theories: What kind of information should be extracted from our environment? What would be a comprehensive system of information that reflects the complexity of our world? How can one assure objectivity in the building of a model? In contrast, the experimental context of architecture calls for a different set of questions: How can a model convey the meaning of our world? What kind of effect is the model supposed to create? Why a particular model is more likely to express the condition of a culture versus another? Here, concerns over the inductive nature of the experimental protocol prevail, or in other words, the questions do not call for fixed principles but a range of possibilities often related to the cultural, social and even political sensitivity of the experimenter. These distinctive sets of questions therefore range from deductive to inductive experimental approaches. Most importantly, they express the essence of the now established field of computational architecture and its capability to propel a confluence of knowledge; a form of transdisciplinarity that oscillates between architecture’s core knowledge and its disciplinal periphery. While both deductive and inductive assumptions are pre-requisite to operative experimentations, the question remains as to the principles managing their confluence. |
series |
ACADIA |
type |
moderator overview |
email |
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full text |
file.pdf (709,362 bytes) |
references |
Content-type: text/plain
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, Harvard University Press, Cambridge, Mass., 34
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last changed |
2022/06/07 07:56 |
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