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	46ce
id	46ce
authors	Gero, J. S.
year	1991
title	Ten problems for AI in design
source	Workshop on AI in Design, IJCAI-91, un-numbered
summary	Modern design research dates back to the end of the eighteenth century when French theorists attempted to describe design as a process. The notion of process in design dates back to the Roman engineer/architect/writer Vitruvius who described both process and performance aspects of designing. Since the 1940s there has been a variety of attempts to provide formal models of design ranging from prescriptive algorithmic-like descriptions through mathematical model and systems theoretic descriptions to the current paradigm based on the precepts and notions of artificial intelligence. All of these, including the current work, is primarily concerned with treating the process aspects of design.
series	other
type	normal paper
email
more	http://www.arch.usyd.edu.au/~john/
last changed	2006/05/27 18:38

_id	diss_kuo
id	diss_kuo
authors	Kuo, C.J.
year	1999
title	Unsupervised Dynamic Concurrent Computer-Aided Design Assistant
source	Los Angeles: UCLA
summary	The increasing capability of computer-aided architectural design systems has strengthened the role that the computer plays in the workplace. Due to the complexity of developing new techniques and research, these systems are undertaken mostly by scientists and engineers without significant architectural input (Willey, 1991). The design concept of these systems may be based on a well-defined and well-understood process, which is not yet realized in architectural design (Galle, 1994). The output of such research may not be easily adapted into the design process. Most of the techniques assume a complete understanding of the design space (Gero and Maher, 1987) (Willey, 1991). The description or construction of the design space is always time and space consuming, and the result can never be complete due to the ever-changing nature of architectural design. This research intends to initiate a solution for the above problems. The proposed system is an unsupervised-dynamic-concurrent-computer-aided-design assistant. The “unsupervised” means the learning process is not supervised by the user because it is against the designer's nature to “think-aloud” in the design studio and it also increases the work load. It is dynamic because the size of the knowledge base is constantly changing. Concurrent means that there are multiple procedures active simultaneously. This research focuses on learning the operational knowledge from an individual designer and reapplying it in future designs. A computer system for this experiment is constructed. It is capable of The preliminary result shows a positive feedback from test subjects. The purpose of this research is to suggest a potent computational frame within which future developments may flourish.
series	thesis:PhD
last changed	2003/11/28 07:37

_id	a233
authors	Rosenman, M.A., Gero, J.S. and Oxman, R.E.
year	1991
title	What's in a Case: The Use of Case Bases, Knowledge Bases, and Databases in Design
source	Computer Aided Architectural Design Futures: Education, Research, Applications [CAAD Futures ‘91 Conference Proceedings / ISBN 3-528-08821-4] Zürich (Switzerland), July 1991, pp. 285-300
summary	Design experience can be classified into generalized or compiled knowledge and specific knowledge. Generalized design knowledge has been introduced into computer-aided design in the form of rules, frames and more recently, design prototypes. Case-based reasoning is a well-defined paradigm in artificial intelligence and has obvious scope for its use in design reasoning. This paper explores case-based reasoning in design and argues for the integration of both specific and generalized design knowledge. This integration allows for characterizing what is in a case by drawing upon the schema developed for design prototypes. Finally, the paper argues that the addition of precedent knowledge, in the form of case bases, to knowledge bases and CAD databases will further extend the experience-based capabilities of design systems.
series	CAAD Futures
email
last changed	2003/05/16 20:58

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