Cumincad : CUMINCAD Papers : Search Results

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	4e29
authors	Gero, John S. and Coyne, Richard D.
year	1985
title	Logic Programming As a Means of Representing Semantics in Design Languages
source	Environment and Planning B. 1985. vol. 12: pp. 351-369 : ill. includes bibliography
summary	Logic programming is discussed as a method for representing aspects of design language: Descriptions of designs domain knowledge, transformation rules, design grammar and control mechanisms necessary to implement rules. The applicability of logic programming to the representation of semantics in design is also explored. Control at the semantic level provides a means of directing the automated generation of designs. Examples are drawn from a rule-based design system written in the logic programming language PROLOG
keywords	PROLOG, logic, programming, design, shape grammars, semantics, languages, representation
series	CADline
email
last changed	2003/05/17 10:17

_id	cf2007_000
id	cf2007_000
authors	Dong, Andy; Andrew vande Moere and John S. Gero (eds.)
year	2007
title	Computer Aided Architectural Design Futures 2007
source	Proceedings of the 12th International Conference [ISBN 978-1-4020-6527-9] Sydney 11-13 July 2007, 602 p.
summary	CAAD Futures is a biennial Conference that aims to promote the advancement of Computer Aided Architectural Design in the service of those concerned with the quality of the built environment. The conferences are organised under the auspices of the CAAD Futures Foundation. The series of conferences started in 1985 in Delft, and has since travelled to Eindhoven, Boston, Zurich, Pittsburgh, Singapore, Munich, Atlanta, Tainan and Vienna. The book contains papers selected from the 11th CAAD Futures conference which took place at the University of Sydney. The papers in this book cover a wide range of subjects and provide an excellent overview of the state-of-the-art in research on Computer Aided Architectural Design.
series	CAAD Futures
email
last changed	2007/07/06 12:47

_id	c898
authors	Gero, John S.
year	1986
title	An Overview of Knowledge Engineering and its Relevance to CAAD
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 107-119
summary	Computer-aided architectural design (CAAD) has come to mean a number of often disparate activities. These can be placed into one of two categories: using the computer as a drafting and, to a lesser extent, modelling system; and using it as a design medium. The distinction between the two categories is often blurred. Using the computer as a drafting and modelling tool relies on computing notions concerned with representing objects and structures numerically and with ideas of computer programs as procedural algorithms. Similar notions underly the use of computers as a design medium. We shall return to these later. Clearly, all computer programs contain knowledge, whether methodological knowledge about processes or knowledge about structural relationships in models or databases. However, this knowledge is so intertwined with the procedural representation within the program that it can no longer be seen or found. Architecture is concerned with much more than numerical descriptions of buildings. It is concerned with concepts, ideas, judgement and experience. All these appear to be outside the realm of traditional computing. Yet architects discoursing use models of buildings largely unrelated to either numerical descriptions or procedural representations. They make use of knowledge - about objects, events and processes - and make nonprocedural (declarative) statements that can only be described symbolically. The limits of traditional computing are the limits of traditional computer-aided design systems, namely, that it is unable directly to represent and manipulate declarative, nonalgorithmic, knowledge or to perform symbolic reasoning. Developments in artificial intelligence have opened up ways of increasing the applicability of computers by acquiring and representing knowledge in computable forms. These approaches supplement rather than supplant existing uses of computers. They begin to allow the explicit representations of human knowledge. The remainder of this chapter provides a brief introduction to this field and describes, through applications, its relevance to computer- aided architectural design.
series	CAAD Futures
email
last changed	2003/05/16 20:58

_id	206caadria2004
id	206caadria2004
authors	Ricardo Sosa and John S. Gero
year	2004
title	Diffusion of Design Ideas: Gatekeeping Effects
source	CAADRIA 2004 [Proceedings of the 9th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 89-7141-648-3] Seoul Korea 28-30 April 2004, pp. 287-302
doi	https://doi.org/10.52842/conf.caadria.2004.287
summary	Designers and design managers are interested in gaining a deeper understanding of the complexities of creativity and innovation (Langdon and Rothwell 1985). These two phenomena can be seen as complementary dimensions of a differentiation cycle where design plays a key value-adding role that gradually reduces through commoditisation. However, there is a lack of relevant evidence to explain the link between creativity and innovation. Creativity is increasingly considered as occurring in the interaction between the individual generator of an idea and a group of evaluators (Sawyer et al 2003). However, most studies have regarded the generation of a solution -and not its social impact- as the outcome of the creative process (Runco and Pritzker 1999). Accordingly, computational modelling of creativity has been mainly conducted in a social void (Boden 1999).
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	6903
authors	Rosenman, Michael A. and Gero, John S.
year	1985
title	Design Codes as Expert Systems
source	Computer Aided Design. 1985. vol. 17: pp. 399-409. includes bibliography ; appendix
summary	An expert system shell written in Prolog has been implemented and examples of the use of the system with the Australian Model Uniform Building Code are presented to demonstrate its capabilities. Some ideas about the future development of a comprehensive expert system and its environment are presented
keywords	expert systems, PROLOG, design, codes
series	CADline
email
last changed	2003/06/02 13:58

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