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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	2312
authors	Carrara, G., Kalay Y.E. and Novembri, G.
year	1992
title	Multi-modal Representation of Design Knowledge
doi	https://doi.org/10.52842/conf.ecaade.1992.055
source	CAAD Instruction: The New Teaching of an Architect? [eCAADe Conference Proceedings] Barcelona (Spain) 12-14 November 1992, pp. 55-66
summary	Explicit representation of design knowledge is needed if scientific methods are to be applied in design research, and if computers are to be used in the aid of design education and practice. The representation of knowledge in general, and design knowledge in particular, have been the subject matter of computer science, design methods, and computer-aided design research for quite some time. Several models of design knowledge representation have been developed over the last 30 years, addressing specific aspects of the problem. This paper describes a different approach to design knowledge representation that recognizes the multimodal nature of design knowledge. It uses a variety of computational tools to encode different kinds of design knowledge, including the descriptive (objects), the prescriptive (goals) and the operational (methods) kinds. The representation is intended to form a parsimonious, communicable and presentable knowledge-base that can be used as a tool for design research and education as well as for CAAD.
keywords	Design Methods, Design Process Goals, Knowledge Representation, Semantic Networks
series	eCAADe
email
last changed	2022/06/07 07:55

_id	4bd2
authors	Carrara, G., Kalay, Y.E. and Novembri, G.
year	1992
title	A Computational Framework for Supporting Creative Architectural Design
source	New York: John Wiley & Sons, 1992. pp. 17-34 : ill. includes Bibliography
summary	Design can be considered a process leading to the definition of a physical form that achieves a certain predefined set of performance criteria. The process comprises three distinct operations: (1) Definition of the desired set of performance criteria (design goals); (2) generation of alternative design solutions; (3) evaluation of the expected performances of alternative design solutions, and comparing them to the predefined criteria. Difficulties arise in performing each one of the three operations, and in combining them into a purposeful unified process. Computational techniques were developed to assist each of the three operations. A comprehensive and successful computational design assistant will have to recognize the limitations of current computational techniques, and incorporate a symbiosis between the machine and the human designer. This symbiosis comprises allocating design tasks between the designer and the computer in a manner that is most appropriate for the task at hand. The task allocation must, therefore, be done dynamically, responding to the changing circumstances of the design process. This report proposes a framework for such a symbiotic partnership, which comprises four major components: (1) User interface and design process control; (2) design goals; (3) evaluators; (4) database
keywords	architecture, knowledge base, systems, design process, control
series	CADline
email
last changed	2003/06/02 14:41

_id	c804
authors	Richens, P.
year	1994
title	Does Knowledge really Help?
source	G. Carrara and Y.E. Kalay (Eds.), Knowledge-Based Computer-Aided Architectural Design, Elsevier
summary	The Martin Centre CADLAB has recently been established to investigate software techniques that could be of practical importance to architects within the next five years. In common with most CAD researchers, we are interested in the earlier, conceptual, stages of design, where commercial CAD systems have had little impact. Our approach is not Knowledge-Based, but rather focuses on using the computer as a medium for design and communication. This leads to a concentration on apparently superficial aspects such as visual appearance, the dynamics of interaction, immediate feedback, plasticity. We try to avoid building-in theoretical attitudes, and to reduce the semantic content of our systems to a low level on the basis that flexibility and intelligence are inversely related; and that flexibility is more important. The CADLAB became operational in January 1992. First year work in three areas – building models, experiencing architecture, and making drawings – is discussed.
series	other
more	http://www.arct.cam.ac.uk/research/pubs/
last changed	2003/03/05 13:19

_id	b4c4
authors	Carrara, G., Fioravanti, A. and Novembri, G.
year	2000
title	A framework for an Architectural Collaborative Design
doi	https://doi.org/10.52842/conf.ecaade.2000.057
source	Promise and Reality: State of the Art versus State of Practice in Computing for the Design and Planning Process [18th eCAADe Conference Proceedings / ISBN 0-9523687-6-5] Weimar (Germany) 22-24 June 2000, pp. 57-60
summary	The building industry involves a larger number of disciplines, operators and professionals than other industrial processes. Its peculiarity is that the products (building objects) have a number of parts (building elements) that does not differ much from the number of classes into which building objects can be conceptually subdivided. Another important characteristic is that the building industry produces unique products (de Vries and van Zutphen, 1992). This is not an isolated situation but indeed one that is spreading also in other industrial fields. For example, production niches have proved successful in the automotive and computer industries (Carrara, Fioravanti, & Novembri, 1989). Building design is a complex multi-disciplinary process, which demands a high degree of co-ordination and co-operation among separate teams, each having its own specific knowledge and its own set of specific design tools. Establishing an environment for design tool integration is a prerequisite for network-based distributed work. It was attempted to solve the problem of efficient, user-friendly, and fast information exchange among operators by treating it simply as an exchange of data. But the failure of IGES, CGM, PHIGS confirms that data have different meanings and importance in different contexts. The STandard for Exchange of Product data, ISO 10303 Part 106 BCCM, relating to AEC field (Wix, 1997), seems to be too complex to be applied to professional studios. Moreover its structure is too deep and the conceptual classifications based on it do not allow multi-inheritance (Ekholm, 1996). From now on we shall adopt the BCCM semantic that defines the actor as "a functional participant in building construction"; and we shall define designer as "every member of the class formed by designers" (architects, engineers, town-planners, construction managers, etc.).
keywords	Architectural Design Process, Collaborative Design, Knowledge Engineering, Dynamic Object Oriented Programming
series	eCAADe
email
more	http://www.uni-weimar.de/ecaade/
last changed	2022/06/07 07:55

_id	6ef4
authors	Carrara, Gianfranco and Kalay, Yehuda E.
year	1992
title	Multi-Model Representation of Design Knowledge
doi	https://doi.org/10.52842/conf.acadia.1992.077
source	Mission - Method - Madness [ACADIA Conference Proceedings / ISBN 1-880250-01-2] 1992, pp. 77-88
summary	Explicit representation of design knowledge is needed if scientific methods are to be applied in design research, and if comPuters are to be used in the aid of design education and practice. The representation of knowledge in general, and design knowledge in particular, have been the subject matter of computer science, design methods, and computer- aided design research for quite some time. Several models of design knowledge representation have been developed over the last 30 years, addressing specific aspects of the problem. This paper describes a different approach to design knowledge representation that recognizes the Multi-modal nature of design knowledge. It uses a variety of computational tools to encode different kinds of design knowledge, including the descriptive (objects), the prescriptive (goals) and the operational (methods) kinds. The representation is intended to form a parsimonious, communicable and presentable knowledge-base that can be used as a tool for design research and education as well as for CAAD.
keywords	Design Methods, Design Process, Goals, Knowledge Representation, Semantic Networks
series	ACADIA
email
last changed	2022/06/07 07:55

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