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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	a9b0
authors	Cha, Myung Yeol and Gero, John
year	1999
title	Style Learning: Inductive Generalisation of Architectural Shape Patterns
doi	https://doi.org/10.52842/conf.ecaade.1999.629
source	Architectural Computing from Turing to 2000 [eCAADe Conference Proceedings / ISBN 0-9523687-5-7] Liverpool (UK) 15-17 September 1999, pp. 629-644
summary	Art historians and critics have defined the style as common features appeared in a class of objects. Abstract common features from a set of objects have been used as a bench mark for date and location of original works. Common features in shapes are identified by relationships as well as physical properties from shape descriptions. This paper will focus on how the computer recognises common shape properties from a class of shape objects to learn style. Shape representation using schema theory has been explored and possible inductive generalisation from shape descriptions has been investigated.
keywords	Style, Inductive Generalisation, Knowledge Representation, Shape
series	eCAADe
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last changed	2022/06/07 07:55

_id	caadria2006_633
id	caadria2006_633
authors	WAN-YU LIU
year	2006
title	THE EMERGING DIGITAL STYLE: Attention shift in architectural style recognition
doi	https://doi.org/10.52842/conf.caadria.2006.x.g4f
source	CAADRIA 2006 [Proceedings of the 11th International Conference on Computer Aided Architectural Design Research in Asia] Kumamoto (Japan) March 30th - April 2nd 2006, 633-635
summary	“Style” has long been an important index to observe the design thinking of designers in architecture. Gombrich (1968) defined style as a particular selection from the alternatives when doing things; Ackerman (1963) considered that a distiguishable ensemble of certain characteristics we call a style; Schapiro (1961) pointed out that style is constant forms, and sometimes the constant elements, qualities and expression; Kirsch (1998), Cha and Gero (1999) thought of style as a form element and shape pattern. As Simon and others referred to, style emerged from the process of problem solving, Chan (1994, 2001) ever devised a serious of experiments to set up the operational definitions of style, further five factors that relate to generating styles. Owing to that the greater part of sketches and drawings in the design process couldn’t be replaced by computer-aided design systems (Eisentraut, 1997), designers must shift between different problem-solving methods while facing different design problems. The purpose in this research is to discuss the influences of computer usage on style generation and style recognition: The employment of certain procedural factors that occurred in the design processes that using conventional media is different from the ones that using computer media? Do personal styles emerge while designers shifting between different media in the design processes? Does any unusual phenomenon emerge while accustomed CAD-systems designers recognizing a style?
series	CAADRIA
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last changed	2022/06/07 07:49

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