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

Sina Mostafavi; Soungmin Yu; Nimish M. Biloria

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

Sina Mostafavi, Soungmin Yu, Nimish M. Biloria

Department of Interior Architecture and Built Environment

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	ACADIA 2014 - Design Agency
Subtitle of host publication	Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture
Editors	David Gerber, Alvin Huang, Jose Sanchez
Publisher	ACADIA
Pages	111-116
Number of pages	6
ISBN (Electronic)	9781926724515
Publication status	Published - 2014
Event	34th Annual Conference of the Association for Computer Aided Design in Architecture: Design Agency, ACADIA 2014 - Los Angeles, United States Duration: 2014 Oct 23 → 2014 Oct 25

Publication series

Name	ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture
Volume	2014-October

Conference

Conference	34th Annual Conference of the Association for Computer Aided Design in Architecture: Design Agency, ACADIA 2014
Country/Territory	United States
City	Los Angeles
Period	14/10/23 → 14/10/25

Bibliographical note

Publisher Copyright:
© 2014 ACADIA. All Rights Reserved.

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Hardware and Architecture

Cite this

Mostafavi, S., Yu, S., & Biloria, N. M. (2014). Multi-scalar agent-based complex design systems - the case of ceco (climatic-ecologies) studio informed generative design systems and performance-driven design workflows. In D. Gerber, A. Huang, & J. Sanchez (Eds.), ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (pp. 111-116). (ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture; Vol. 2014-October). ACADIA.

Mostafavi, Sina ; Yu, Soungmin ; Biloria, Nimish M. / Multi-scalar agent-based complex design systems - the case of ceco (climatic-ecologies) studio informed generative design systems and performance-driven design workflows. ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture. editor / David Gerber ; Alvin Huang ; Jose Sanchez. ACADIA, 2014. pp. 111-116 (ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture).

@inproceedings{8fd8f20b8d7f46cab452613f2e5e10f3,

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

abstract = "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.",

author = "Sina Mostafavi and Soungmin Yu and Biloria, {Nimish M.}",

note = "Publisher Copyright: {\textcopyright} 2014 ACADIA. All Rights Reserved.; 34th Annual Conference of the Association for Computer Aided Design in Architecture: Design Agency, ACADIA 2014 ; Conference date: 23-10-2014 Through 25-10-2014",

year = "2014",

language = "English",

series = "ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture",

publisher = "ACADIA",

pages = "111--116",

editor = "David Gerber and Alvin Huang and Jose Sanchez",

booktitle = "ACADIA 2014 - Design Agency",

}

Mostafavi, S, Yu, S & Biloria, NM 2014, Multi-scalar agent-based complex design systems - the case of ceco (climatic-ecologies) studio informed generative design systems and performance-driven design workflows. in D Gerber, A Huang & J Sanchez (eds), ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture. ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture, vol. 2014-October, ACADIA, pp. 111-116, 34th Annual Conference of the Association for Computer Aided Design in Architecture: Design Agency, ACADIA 2014, Los Angeles, United States, 14/10/23.

Multi-scalar agent-based complex design systems - the case of ceco (climatic-ecologies) studio informed generative design systems and performance-driven design workflows. / Mostafavi, Sina; Yu, Soungmin; Biloria, Nimish M.

ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture. ed. / David Gerber; Alvin Huang; Jose Sanchez. ACADIA, 2014. p. 111-116 (ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture; Vol. 2014-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multi-scalar agent-based complex design systems - the case of ceco (climatic-ecologies) studio informed generative design systems and performance-driven design workflows

AU - Mostafavi, Sina

AU - Yu, Soungmin

AU - Biloria, Nimish M.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85052335614&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85052335614&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85052335614

T3 - ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture

SP - 111

EP - 116

BT - ACADIA 2014 - Design Agency

A2 - Gerber, David

A2 - Huang, Alvin

A2 - Sanchez, Jose

PB - ACADIA

T2 - 34th Annual Conference of the Association for Computer Aided Design in Architecture: Design Agency, ACADIA 2014

Y2 - 23 October 2014 through 25 October 2014

ER -

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. In Gerber D, Huang A, Sanchez J, editors, ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture. ACADIA. 2014. p. 111-116. (ACADIA 2014 - Design Agency: Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture).

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

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Other files and links

Fingerprint

Cite this