id |
ecaade2022_172 |
authors |
Vugreshek, Zvonko |
year |
2022 |
title |
Discrete Differences between Aggregate Systems for Generative Urban and Architectural Design |
source |
Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 29–38 |
doi |
https://doi.org/10.52842/conf.ecaade.2022.2.029
|
summary |
The activation of aggregate systems, procedural generation, and other models of discrete computation result in different organizations and formal outcomes. Some differences seem blurry but are relevant to understand in order to govern the computational design process in the specific domain. They are developing around empiric principles, are based on discrete automation rule sets, and are intertwined in various ways. The paper presents and describes some differences and communalities between each system. Its goal is to support the computational designer, architect or urban planner in the decision-making process and choice of which system could work best in a given context and to solve a specific problem. An introduction into aggregation or automation will serve as a foundation for the research. The discrete systems Cellular Automata, Wave Function Collapse, Graph-Grammar Aggregation will be described. In this paper, the latter is specified as selection-based-aggregation. Diffusion-Limited Aggregation (DLA), which is regarded as an early translation of natural behaviour into scripted nature will serve as a framework. In a next step potential and utilization of these discrete systems in expanding the language of architectural and urban morphology will be experimentally demonstrated and compared. The paper concludes by suggesting a current state of development and potential adaptation of the methods for broader use within the architectural and urban design paradigm of developing methods for the creation of new computational typologies. |
keywords |
Discrete Aggregation, Cellular Automata, Procedural Generation, Urban Morphology Generation, Wave Function Collapse |
series |
eCAADe |
email |
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full text |
file.pdf (806,100 bytes) |
references |
Content-type: text/plain
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Ashby, W.R. (1973)
An introduction to cybernetics
, Reprint. ed. University paperbacks. 1973, London: Chapman & Hall u.a. IX, 295 S
|
|
|
|
Caballero, L., B. Hodge, and S. Hernandez (2016)
Conway's "Game of Life" and the Epigenetic Principle
, Frontiers in cellular and infection microbiology, 6: p. 57
|
|
|
|
Chomsky, N. (1956)
Three models for the description of language
, IRE Transactions on information theory, 1956. 2(3): p. 113-124
|
|
|
|
Dijkstra, E.W. (1959)
A note on two problems in connexion with graphs
, Numerische mathematik
|
|
|
|
Hayes, S., C. Desha, and D. Baumeister (2020)
Learning from nature-Biomimicry innovation to support infrastructure sustainability and resilience
, Technological Forecasting and Social Change, 2020. 161: p. 120287
|
|
|
|
Hern, W.M. (2008)
Urban malignancy: similarity in the fractal dimensions of urban morphology and malignant neoplasms
, International journal of anthropology, 2008. 23(1-2): p. 1-19
|
|
|
|
Pask, G. (1976)
Conversation Theory: Applications in Education and Epistemology
, Amsterdam: Elsevier Scientific Publishing Company
|
|
|
|
Passino, K.M. (2002)
Biomimicry of bacterial foraging for distributed optimization and control
, IEEE control systems magazine, 2002. 22(3): p. 52-67
|
|
|
|
Rian, I.M. and S. Asayama (2016)
Computational Design of a nature-inspired architectural structure using the concepts of self-similar and random fractals
, Automation in Construction, 2016. 66: p. 43-58
|
|
|
|
Rovalo, E. and J. McCardle (2019)
Performance based abstraction of biomimicry design principles using prototyping
, Designs, 3(3): p.38
|
|
|
|
last changed |
2024/04/22 07:10 |
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