| id |
ecaade2017_271 |
| authors |
Narahara, Taro |
| year |
2017 |
| title |
Collective Construction Modeling and Machine Learning: Potential for Architectural Design |
| source |
Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 341-348 |
| doi |
https://doi.org/10.52842/conf.ecaade.2017.2.341
|
| summary |
Recently, there are significant developments in artificial intelligence using advanced machine learning algorithms such as deep neural networks. These new methods can defeat human expert players in strategy-based board games such as Go and video games such as Breakout. This paper suggests a way to incorporate such advanced computing methods into architectural design through introducing a simple conceptual design project inspired by computational interpretations of wasps' collective constructions. At this stage, the paper's intent is not to introduce a practical and fully finished tool directly useful for architectural design. Instead, the paper proposes an example of a program that can potentially become a conceptual framework for incorporating such advanced methods into architectural design. |
| keywords |
Design tools; Stigmergy; Machine learning |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (7,805,897 bytes) |
| references |
Content-type: text/plain
|
Bonabeau, E, Guérin, S, Snyers, D, Kuntz, P and Theraulaz, G. (2000)
 Three-dimensional architectures grown by simple 'stigmergic' agents
, Biosystems, Elsevier, 56(Issue 1), pp. 13-32
|
|
|
|
|
Gatys, L. A., Ecker, A. S., and Bethge, M. (2015)
A neural algorithm of artistic style
, CoRR, arXiv:1508.06576, p. -
|
|
|
|
|
Minh, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A., Riedmiller, M., Fidjelan, A. K., Ostrovski, G., Petersen, S., Beattie, C., Sadik, A., Antonoglou, I., King, H., Kumaran, D., Wierstra, D. Legg, S., & Hassabis, D. (2015)
Human-level Control through Deep Reinforcement Learning
, Nature, 518, pp. 529-533
|
|
|
|
|
Narahara, T. (2008)
New Methodologies in Architectural Design inspired by Self-Organization
, Proceedings of the Association for Computer-Aided Design in Architecture (ACADIA), pp. 324-331
|
|
|
|
|
Shimizu, R. (2016)
Deep Learning Programming
, Technological Review Co., Ltd., Tokyo
|
|
|
|
|
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., Dieleman, S., Grewe, D., Nham, J., Kalchbrenner, N., Sutskever, I., Lillicrap, T., Leach, M., Kavukcuoglu, K., Graepel, T., & Hassabis, D. (2016)
Mastering the Game of Go with Deep Neural Networks and Tree Search
, Nature, 529, pp. 484-489
|
|
|
|
|
Sutton, R. S. and Barto, A. G. (1998)
Reinforcement Learning: An Introduction
, MIT Press, Cambridge, MA
|
|
|
|
| last changed |
2022/06/07 07:58 |
|
