A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Computational Organicism: Examining Evolutionary Design Strategies in Architecture
Abstract The diverse forms of nature, in particular and biological forms, have long been a preoccupation of the architect. As a special category of natural form, biological organisms exhibit extraordinary levels of design adaptability across multiple generations based upon the inherent ‘intelligence’ of the evolutionary mechanism. Evolutionary design theory in architecture seeks to harness this generative intelligence as the foundation for a new architectural design process. This paper investigates the lineage of evolutionary thought in architectural design, paying particular attention to the current trend towards experimentation with generative algorithmic procedures and the theorization of an evolutionary architecture.
Computational Organicism: Examining Evolutionary Design Strategies in Architecture
Abstract The diverse forms of nature, in particular and biological forms, have long been a preoccupation of the architect. As a special category of natural form, biological organisms exhibit extraordinary levels of design adaptability across multiple generations based upon the inherent ‘intelligence’ of the evolutionary mechanism. Evolutionary design theory in architecture seeks to harness this generative intelligence as the foundation for a new architectural design process. This paper investigates the lineage of evolutionary thought in architectural design, paying particular attention to the current trend towards experimentation with generative algorithmic procedures and the theorization of an evolutionary architecture.
Computational Organicism: Examining Evolutionary Design Strategies in Architecture
Holland, Brian (author)
Nexus Network Journal ; 12 ; 485-495
2010-09-15
11 pages
Article (Journal)
Electronic Resource
English
design theory , historical era: modern and contemporary , algorithm , computer technology , morphology , Richard Dawkins , Manuel Delanda , William Latham , John Frazier Mathematics , Mathematics, general , History and Philosophical Foundations of Physics , Popular Science, general , History, general
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