Proto-Architecture and Unconventional Biomaterials II

A special issue of Biomimetics (ISSN 2313-7673).

Deadline for manuscript submissions: closed (31 January 2021) | Viewed by 5089

Special Issue Editors


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Guest Editor
Institute of Architecture, Technical University Berlin, DE-16023 Berlin, Germany
Interests: digital architecture; cybernetics; computation; anthropocene; posthuman; material intelligence; biomimicry
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Guest Editor
Unconventional Computing Lab, Department of Computer Science and Creative Technology, University of the West of England, Bristol BS16 1QY, UK
Interests: unconventional computing; fungal computing; reaction-diffusion computing; cellular automata; physarum computing; massive parallel computation; applied mathematics; collective intelligence and robotics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Leaving the domain of simulation in virtual space, bioinspired and biologically driven architectures are increasingly part of the production of architecture. The idea of creating architectural typologies inspired by and functioning according to natural and biological principles is not just aesthetically intriguing but also sustainably promising. The convergence of material properties, and embedded natural and artificial intelligence, with biological and/or digital manufacturing methods may lead to adaptive structural “thinking” geometries. Digital morphogenesis, first mentioned during the “First Digital Turn” in architecture (Kolarevic, 2000), is a form-generating method using advanced digital tools. Two decades later, digital morphogenesis has engaged with design processes of material computation and biomimetics, biological morphogenesis, and cognitive materials transformed into built architecture using digital fabrication methods, partly driven by algorithms—including pattern recognition or physics engines. The shift from top-down to bottom-up design strategies has radically changed our understanding of architecture. In 1917, Wentworth D’Arcy Thompson suggested that form is a result of internal material behavior and external parameters; however, we suggest that proto-architecture emerges from the cybernetic ecology of unconventional biomaterials, construction methods, and cognition.

This Special Issue aims at approaching the topic through the application of the biological, digital, structural, and social alike, resulting in spatial geometry. Biological here refers to the cognitive (maturana) organic, inorganic, living, and nonliving. We invite scientists, architects, engineers, and artists to reboot architecture by submitting stimulating and visionary original research and articles—both protoarchitectural and technologically viable—to start understanding the knowledge and possibilities in this field.

Prof. Dr. Liss C. Werner
Prof. Dr. Andrew Adamatzky
Guest Editors

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Published Papers (1 paper)

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21 pages, 5869 KiB  
Article
Color-Patterns to Architecture Conversion through Conditional Generative Adversarial Networks
by Diego Navarro-Mateu, Oriol Carrasco and Pedro Cortes Nieves
Biomimetics 2021, 6(1), 16; https://doi.org/10.3390/biomimetics6010016 - 17 Feb 2021
Cited by 4 | Viewed by 4086
Abstract
Often an apparent complex reality can be extrapolated into certain patterns that in turn are evidenced in natural behaviors (whether biological, chemical or physical). The Architecture Design field has manifested these patterns as a conscious (inspired designs) or unconscious manner (emerging organizations). If [...] Read more.
Often an apparent complex reality can be extrapolated into certain patterns that in turn are evidenced in natural behaviors (whether biological, chemical or physical). The Architecture Design field has manifested these patterns as a conscious (inspired designs) or unconscious manner (emerging organizations). If such patterns exist and can be recognized, can we therefore use them as genotypic DNA? Can we be capable of generating a phenotypic architecture that is manifestly more complex than the original pattern? Recent developments in the field of Evo-Devo around gene regulators patterns or the explosive development of Machine Learning tools could be combined to set the basis for developing new, disruptive workflows for both design and analysis. This study will test the feasibility of using conditional Generative Adversarial Networks (cGANs) as a tool for coding architecture into color pattern-based images and translating them into 2D architectural representations. A series of scaled tests are performed to check the feasibility of the hypothesis. A second test assesses the flexibility of the trained neural networks against cases outside the database. Full article
(This article belongs to the Special Issue Proto-Architecture and Unconventional Biomaterials II)
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