id 
ecaade2018_315 
authors 
Koehler, Daniel, Abo Saleh, Sheghaf, Li, Hua, Ye, Chuwei, Zhou, Yaonaijia and Navasaityte, Rasa 
year 
2018 
title 
Mereologies  Combinatorial Design and the Description of Urban Form. 
source 
KepczynskaWalczak, A, Bialkowski, S (eds.), Computing for a better tomorrow  Proceedings of the 36th eCAADe Conference  Volume 2, Lodz University of Technology, Lodz, Poland, 1921 September 2018, pp. 8594 
summary 
This paper discusses the ability to apply machine learning to the combinatorial designassembly at the scale of a building to urban form. Connecting the historical lines of discrete automata in computer science and formal studies in architecture this research contributes to the field of additive material assemblies, aggregative architecture and their possible upscaling to urban design. The following case studies are a preparation to apply deeplearning on the computational descriptions of urban form. Departing from the game Go as a testbed for the development of deeplearning applications, an equivalent platform can be designed for architectural assembly. By this, the form of a building is defined via the overlap between separate building parts. Building on partrelations, this research uses mereology as a term for a set of recursive assembly strategies, integrated into the design aspects of the building parts. The models developed by research by design are formally described and tested under a digital simulation environment. The shown case study shows the process of how to transform geometrical elements to architectural parts based merely on their compositional aspects either in horizontal or threedimensional arrangements. 
keywords 
Urban Form; Discrete Automata ; Combinatorics; PartRelations; Mereology; Aggregative Architecture 
series 
eCAADe 
email 
d.koehler@ucl.ac.uk 
full text 
file.pdf (8,945,792 bytes) 
references 
Contenttype: text/plain

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last changed 
2018/07/24 10:23 
