EconPapers    
Economics at your fingertips  
 

Generative Design Grammars: An Intelligent Approach Towards Dynamic and Autonomous Design

Ning Gu ()
Additional contact information
Ning Gu: University of Newcastle, School of Architecture and Built Environment

Chapter Chapter 89 in Architecture and Mathematics from Antiquity to the Future, 2015, pp 619-631 from Springer

Abstract: Abstract Design grammars as one of the well-known generative design formalisms have evolved and been tested for nearly 40 years across a wide range of design disciplines including architectural design, product design, engineering design and so on. Over the years, grammar research has transformed from the early focus of mathematical models to the current computational implementations. This paper revisits the grammatical approach to generative design, and presents the conceptual framework of Generative Design Grammars (GDG) together with a demonstration for supporting dynamic and autonomous design in contemporary CAAD tools i.e. 3D virtual environments. Integrated with an agent model and a simulation engine, GDG provides an intelligent approach towards dynamic and autonomous design. This intelligent approach to utilising computer technologies in design implies both opportunities and challenges for designers.

Keywords: Virtual Environment; Design Rule; Virtual Object; Interaction Rule; Shape Grammar (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-00143-2_42

Ordering information: This item can be ordered from
http://www.springer.com/9783319001432

DOI: 10.1007/978-3-319-00143-2_42

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-05
Handle: RePEc:spr:sprchp:978-3-319-00143-2_42