Cellular Automata as a learning process in Architecture and Urban design

Mads Brath Jensen, Isak Worre Foged

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

This paper explores the application of cellular automata as method for investigating the dynamic parameters and interrelationships that constitute the urban space. With increasing aspects needed for integration during the architectural and urban design process with the relations between these aspects growing in parallel, complexity of the design process and design solution increases. Additionally, aspects and relations are of a transformative character in that they change over time and therefore construct a time-based condition for which problems are presented and solutions are sought. An architectural methodological response to this situation is presented through the development of a conceptual computational design system that allows these dynamics to unfold and to be observed for architectural design decision taking. Reflecting on the development and implementation of a cellular automata based design approach on a master level urban design studio this paper will discuss the strategies for dealing with complexity at an urban scale as well as the pedagogical considerations behind applying computational tools and methods to a urban design education.
Original languageEnglish
Title of host publicationFusion - Proceedings of the 32nd eCAADe Conference
EditorsEmine Mine Thompson
Number of pages6
Volume1
Place of PublicationNewcastle upon Tyne, England, UK
PublishereCAADe
Publication date2014
Pages297-302
Publication statusPublished - 2014
EventeCAADe 14: Fusion - Northumbria University, Newcastle, United Kingdom
Duration: 10 Sept 201412 Sept 2014

Conference

ConferenceeCAADe 14
LocationNorthumbria University
Country/TerritoryUnited Kingdom
CityNewcastle
Period10/09/201412/09/2014

Keywords

  • Computational design
  • Cellular Automata
  • Education
  • Design Exploration

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