| id |
acadia20_668 |
| authors |
Pasquero, Claudia; Poletto, Marco |
| year |
2020 |
| title |
Deep Green |
| doi |
https://doi.org/10.52842/conf.acadia.2020.1.668
|
| source |
ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 668-677. |
| summary |
Ubiquitous computing enables us to decipher the biosphere’s anthropogenic dimension, what we call the Urbansphere (Pasquero and Poletto 2020). This machinic perspective unveils a new postanthropocentric reality, where the impact of artificial systems on the natural biosphere is indeed global, but their agency is no longer entirely human. This paper explores a protocol to design the Urbansphere, or what we may call the urbanization of the nonhuman, titled DeepGreen. With the development of DeepGreen, we are testing the potential to bring the interdependence of digital and biological intelligence to the core of architectural and urban design research. This is achieved by developing a new biocomputational design workflow that enables the pairing of what is algorithmically drawn with what is biologically grown (Pasquero and Poletto 2016). In other words, and more in detail, the paper will illustrate how generative adversarial network (GAN) algorithms (Radford, Metz, and Soumith 2015) can be trained to “behave” like a Physarum polycephalum, a unicellular organism endowed with surprising computational abilities and self-organizing behaviors that have made it popular among scientist and engineers alike (Adamatzky 2010) (Fig. 1). The trained GAN_Physarum is deployed as an urban design technique to test the potential of polycephalum intelligence in solving problems of urban remetabolization and in computing scenarios of urban morphogenesis within a nonhuman conceptual framework. |
| series |
ACADIA |
| type |
paper |
| email |
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| full text |
 file.pdf (18,974,248 bytes) |
| references |
Content-type: text/plain
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Mazzuccato, Marianna (2017)
 The Value of Everything
, London: Penguin Economics
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Pasquero, C., and M. Poletto (2016)
Cities as Biological Computers
, Architectural Research Quarterly 20 (1): 10–19. https://doi.org/10.1017/S135913551600018X
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Pasquero, C., and M. Poletto (2017)
Biodigital Design Workflows: ecoLogicStudio’s Solana Open Aviary in Ulcinj, Montenegro
, Architectural Design 87: 44–49. https://doi.org/10.1002/ad.2130
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Pasquero, C., and M. Poletto (2019)
Beauty as Ecological Intelligence: Bio-digital Aesthetics as a Value System of Post-Anthropocene Architecture
, ArchitecturalDesign 89: 58–65. https://doi.org/10.1002/ad.2480
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Pasquero, C., and M. Poletto (2020)
Culturalising the Microbiota: From High-Tech to Bio-Tech Architecture
, The Routledge Companion to Paradigms of Performativity in Design & Architecture, edited by M. Kanaani. New York: Routledge
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Radford, Alec, Luke Metz, and Soumith Chintala (2015)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
, ICLR (International Conference on Learning Representations). arXiv:1511.06434
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Zhu, Jun-Yan, Taesung Park, Phillip Isola, and Alexei Efros (2017)
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
, Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 22–20 October 2017, 2223–2232. IEEE
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| last changed |
2023/10/22 12:06 |
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