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

_id caadria2007_659
id caadria2007_659
authors Chen, Zi-Ru
year 2007
title The Combination of Design Media and Design Creativity _ Conventional and Digital Media
doi https://doi.org/10.52842/conf.caadria.2007.x.w5x
source CAADRIA 2007 [Proceedings of the 12th International Conference on Computer Aided Architectural Design Research in Asia] Nanjing (China) 19-21 April 2007
summary Creativity is always interested in many fields, in particular, creativity and design creativity have many interpretations (Boden, 1991; Gero and Maher, 1992, 1993; Kim, 1990; Sternberg, 1988; Weisberg, 1986). In early conceptual design process, designers used large number of sketches and drawings (Purcell and Gero, 1998). The sketch can inspire the designer to increase the creativity of the designer’s creations(Schenk, 1991; Goldschmidt, 1994; Suwa and Tversky, 1997). The freehand sketches by conventional media have been believed to play important roles in processes of the creative design thinking(Goldschmidt, 1991; Schon and Wiggins, 1992; Goel, 1995; Suwa et al., 2000; Verstijnen et al., 1998; Elsas van and Vergeest, 1998). Recently, there are many researches on inspiration of the design creativity by digital media(Liu, 2001; Sasada, 1999). The digital media have been used to apply the creative activities and that caused the occurrenssce of unexpected discovery in early design processes(Gero and Maher, 1993; Mitchell, 1993; Schmitt, 1994; Gero, 1996, 2000; Coyne and Subrahmanian, 1993; Boden, 1998; Huang, 2001; Chen, 2001; Manolya et al. 1998; Verstijinen et al., 1998; Lynn, 2001). In addition, there are many applications by combination of conventional and digital media in the sketches conceptual process. However, previous works only discussed that the individual media were related to the design creativity. The cognitive research about the application of conceptual sketches design by integrating both conventional and digital media simultaneously is absent.
series CAADRIA
email
last changed 2022/06/07 07:50

_id a425
authors Gero, John S. and Maher, Mary Lou
year 1991
title Mutation and Analogy to Support Creativity in Computer-Aided 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. 261-270
summary Creative processes in computer-aided design are identified as those that introduce new design variables into the design process. This paper describes the ideas behind the development of a computational model of creative processes in design. This computational model is founded on the use of mutation and analogy processes working in tandem using design prototypes as the representation scheme
series CAAD Futures
email
last changed 2003/05/16 20:58

_id ecaade2020_139
id ecaade2020_139
authors Zwierzycki, Mateusz
year 2020
title On AI Adoption Issues in Architectural Design - Identifying the issues based on an extensive literature review.
doi https://doi.org/10.52842/conf.ecaade.2020.1.515
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 515-524
summary An analysis of AI in design literature, compiled from almost 200 publications from the 1980s onwards. The majority of the sources are proceedings from various conferences. This work is inspired by the Ten Problems for AI in Design (Gero 1991) workshop report, which listed the problems to be tackled in design with AI. Almost 30 years since the publication, it seems most of the Ten Problems cannot be considered solved or even addressed. One of this paper's goals is to identify, categorize and examine the bottlenecks in the adoption of AI in design. The collected papers were analysed to obtain the following data: Problem, Tool, Solution, Stage and Future work. The conclusions drawn from the analysis are used to define a range of existing problems with AI adoption, further illustrated with an update to the Ten Problems. Ideally this paper will spark a discussion on the quality of research, methodology and continuity in research.
keywords artificial intelligence; review; design automation; knowledge representation; machine learning; expert system
series eCAADe
email
last changed 2022/06/07 07:57

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