id |
acadia12_447 |
authors |
Rossi, Dino ; Nagy, Zoltan ; Schlueter, Arno |
year |
2012 |
title |
Adaptive Distributed Architectural Systems |
source |
ACADIA 12: Synthetic Digital Ecologies [Proceedings of the 32nd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-62407-267-3] San Francisco 18-21 October, 2012), pp. 447-456 |
doi |
https://doi.org/10.52842/conf.acadia.2012.447
|
summary |
Artificial Intelligence has a long and rich history in the field of architecture. Building upon this history, we clarify the term “adaptive” and its use within the field. This allows us to explore the application of adaptive systems to architectural design through the prototyping of an adaptive solar envelope (ASE). The building envelope was chosen because it is a common place to address issues of energy performance and occupant comfort and thereby offers an ideal scenario in which to explore the negotiative potential of adaptive systems in architecture. The ASE prototype addresses issues of distributed shading, solar power generation through integrated thin film photovoltaics, and daylight distribution. In addition, building envelopes, being the most publically visible part of a building, play an important role in the aesthetic result of a design. Therefore, conceiving buildings as dynamic systems with the ability to adapt to the fluctuating environments in which they exist opens new aesthetic possibilities for designers. Additionally we present examples of student work created during workshops based on the theme of integrating adaptive distributed systems into architectural design. We argue that with presently available technology, and an increased exposure of architecture students and practitioners to adaptive design techniques, adaptive architectures will soon become a regular element of the built environment. |
keywords |
adaptive , distributed , systems , reinforcement , learning , architecture , design |
series |
ACADIA |
type |
normal paper |
email |
|
full text |
file.pdf (420,215 bytes) |
references |
Content-type: text/plain
|
Abdallah, S., and S. Nijmeh (2004)
Two Axes Sun Tracking System with PLC Control
, Energy Conservation & Management 45: 1931–39
|
|
|
|
Braitenberg, V (1984)
Vehicles: Experiments in Synthetic Psychology
, Cambridge, MA: MIT Press
|
|
|
|
Chan, M., D. Estève, C. Escriba, and E. Campo (2008)
A Review of Smart Homes—Present State and Future Challenges
, Computer Methods and Programs in Biomedicine 91: 55 –81
|
|
|
|
Fox, M (2010)
Catching Up with the Past: A Small Contribution to a Long History of Interactive Environments
, FOOTPRINT: Digitally-Driven Architecture, eds. H. Bier and T. Knight, spring 2010, 5–17
|
|
|
|
Fox, M., and M. Kemp (2009)
Interactive Architecture
, New York City: Princeton Architectural Press
|
|
|
|
Frazer, J (1995)
An Evolutionary Architecture
, London: Architectural Association
|
|
|
|
Mitchell, T. M (1997)
Machine Learning
, New York: McGraw-Hill
|
|
|
|
Negroponte, N (1970)
The Architecture Machine
, Cambridge, MA: MIT Press
|
|
|
|
Negroponte, N (1975)
Soft Architecture Machines
, Cambridge, MA: MIT Press
|
|
|
|
Riley, T., et al (2002)
The Changing of the Avant-Garde: Visionary Architectural Drawings from the Howard Gilman Collection
, New York: Museum of Modern Art
|
|
|
|
Rossi, D., Z. Nagy, and A. Schlueter (2012)
Adaptive Distributed Robotics for Environmental Performance, Occupant Comfort and Architectural Expression
, International Journal of Architectural Computing (IJAC) - in press
|
|
|
|
Sutton, R. S., and A. G. Barto (1998)
Reinforcement Learning: An Introduction
, Cambridge, MA: MIT Press
|
|
|
|
last changed |
2022/06/07 07:56 |
|