Computational Swarming: A Cultural Technique for Generative Architecture

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Computational Swarming : A Cultural Technique for Generative Architecture. / Vehlken, Sebastian.

in: Footprint, Nr. 15, 20.11.2014, S. 9-24.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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@article{51d4b140ae4e4974b71b1a65b3527a87,
title = "Computational Swarming: A Cultural Technique for Generative Architecture",
abstract = "After a first wave of digital architecture in the 1990s, the last decade saw some approaches where agent-based modelling and simulation (ABM) was used for generative strategies in architectural design. By taking advantage of the self-organisational capabilities of computational agent collectives whose global behaviour emerges from the local interaction of a large number of relatively simple individuals (as it does, for instance, in animal swarms), architects are able to understand buildings and urbanscapes in a novel way as complex spaces that are constituted by the movement of multiple material and informational elements. As a major, zoo-technological branch of ABM, Computational Swarm Intelligence (SI) coalesces all kinds of architectural elements - materials, people, environmental forces, traffic dynamics, etc. - into a collective population. Thereby, SI and ABM initiate a shift from geometric or parametric planning to time-based and less prescriptive software tools.Agent-based applications of this sort are used to model solution strategies in a number of areas where opaque and complex problems present themselves - from epidemiology to logistics, and from market simulations to crowd control. This article seeks to conceptualise SI and ABM as a fundamental and novel cultural technique for governing dynamic processes, taking their employment in generative architectural design as a concrete example. In order to avoid a rather conventional application of philosophical theories to this field, the paper explores how the procedures of such technologies can be understood in relation to the media-historical concept of Cultural Techniques.",
keywords = "Digital media",
author = "Sebastian Vehlken",
note = "Titel der Ausgabe: Dynamics of Data Driven Design",
year = "2014",
month = nov,
day = "20",
doi = "10.7480/footprint.8.2.808",
language = "English",
pages = "9--24",
journal = "Footprint",
issn = "1875-1504",
publisher = "Technische Universiteit Delft",
number = "15",

}

RIS

TY - JOUR

T1 - Computational Swarming

T2 - A Cultural Technique for Generative Architecture

AU - Vehlken, Sebastian

N1 - Titel der Ausgabe: Dynamics of Data Driven Design

PY - 2014/11/20

Y1 - 2014/11/20

N2 - After a first wave of digital architecture in the 1990s, the last decade saw some approaches where agent-based modelling and simulation (ABM) was used for generative strategies in architectural design. By taking advantage of the self-organisational capabilities of computational agent collectives whose global behaviour emerges from the local interaction of a large number of relatively simple individuals (as it does, for instance, in animal swarms), architects are able to understand buildings and urbanscapes in a novel way as complex spaces that are constituted by the movement of multiple material and informational elements. As a major, zoo-technological branch of ABM, Computational Swarm Intelligence (SI) coalesces all kinds of architectural elements - materials, people, environmental forces, traffic dynamics, etc. - into a collective population. Thereby, SI and ABM initiate a shift from geometric or parametric planning to time-based and less prescriptive software tools.Agent-based applications of this sort are used to model solution strategies in a number of areas where opaque and complex problems present themselves - from epidemiology to logistics, and from market simulations to crowd control. This article seeks to conceptualise SI and ABM as a fundamental and novel cultural technique for governing dynamic processes, taking their employment in generative architectural design as a concrete example. In order to avoid a rather conventional application of philosophical theories to this field, the paper explores how the procedures of such technologies can be understood in relation to the media-historical concept of Cultural Techniques.

AB - After a first wave of digital architecture in the 1990s, the last decade saw some approaches where agent-based modelling and simulation (ABM) was used for generative strategies in architectural design. By taking advantage of the self-organisational capabilities of computational agent collectives whose global behaviour emerges from the local interaction of a large number of relatively simple individuals (as it does, for instance, in animal swarms), architects are able to understand buildings and urbanscapes in a novel way as complex spaces that are constituted by the movement of multiple material and informational elements. As a major, zoo-technological branch of ABM, Computational Swarm Intelligence (SI) coalesces all kinds of architectural elements - materials, people, environmental forces, traffic dynamics, etc. - into a collective population. Thereby, SI and ABM initiate a shift from geometric or parametric planning to time-based and less prescriptive software tools.Agent-based applications of this sort are used to model solution strategies in a number of areas where opaque and complex problems present themselves - from epidemiology to logistics, and from market simulations to crowd control. This article seeks to conceptualise SI and ABM as a fundamental and novel cultural technique for governing dynamic processes, taking their employment in generative architectural design as a concrete example. In order to avoid a rather conventional application of philosophical theories to this field, the paper explores how the procedures of such technologies can be understood in relation to the media-historical concept of Cultural Techniques.

KW - Digital media

UR - http://www.scopus.com/inward/record.url?scp=84908542439&partnerID=8YFLogxK

U2 - 10.7480/footprint.8.2.808

DO - 10.7480/footprint.8.2.808

M3 - Journal articles

SP - 9

EP - 24

JO - Footprint

JF - Footprint

SN - 1875-1504

IS - 15

ER -

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