Multi-scalar agent-based complex design systems - the case of ceco (climatic-ecologies) studio informed generative design systems and performance-driven design workflows

Mostafavi, S; Yu, S; Biloria, NM

Multi-scalar agent-based complex design systems - the case of ceco (climatic-ecologies) studio informed generative design systems and performance-driven design workflows

Mostafavi, S Yu, S Biloria, NM

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Publication Type:: Conference Proceeding
Citation:: ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture, 2014, 2014-October pp. 111 - 116
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Mostafavi, S	en_US
dc.contributor.author	Yu, S	en_US
dc.contributor.author	Biloria, NM https://orcid.org/0000-0003-3152-5187	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture, 2014, 2014-October pp. 111 - 116	en_US
dc.identifier.isbn	9781926724515	en_US
dc.identifier.uri	http://hdl.handle.net/10453/117673
dc.description.abstract	© 2014 ACADIA. All Rights Reserved. This paper illustrates the application of different types of complex systems for digital form finding and design decision making with underlying methodological and pedagogical aims to emphasize performance-driven design solutions via combining generative methods of complex systems with simulation techniques. The design research examples described in the paper are undertaken within the design studio titled CECO or Climatic-Ecologies, conducted at Hyperbody, TU Delft. The computational models explored within the studio include generative systems such as multi-agent system, cellular automata, recursive systems and L-system. The case studies presented in this paper show the early stages of the design development and the use of agent-based system at both macro, urban, scale to micro, architectural and structural scales, while considering environmental and local site conditions.	en_US
dc.relation.ispartof	ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture	en_US
dc.title	Multi-scalar agent-based complex design systems - the case of ceco (climatic-ecologies) studio informed generative design systems and performance-driven design workflows	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2014-October	en_US
utslib.for	1201 Architecture	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2014-October	en_US

Abstract:

© 2014 ACADIA. All Rights Reserved. This paper illustrates the application of different types of complex systems for digital form finding and design decision making with underlying methodological and pedagogical aims to emphasize performance-driven design solutions via combining generative methods of complex systems with simulation techniques. The design research examples described in the paper are undertaken within the design studio titled CECO or Climatic-Ecologies, conducted at Hyperbody, TU Delft. The computational models explored within the studio include generative systems such as multi-agent system, cellular automata, recursive systems and L-system. The case studies presented in this paper show the early stages of the design development and the use of agent-based system at both macro, urban, scale to micro, architectural and structural scales, while considering environmental and local site conditions.

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http://hdl.handle.net/10453/117673