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 a19d
authors Brown, G.Z. and Novitski, Barbara-Jo
year 1988
title A Macintosh Design Studio
doi https://doi.org/10.52842/conf.acadia.1988.151
source Computing in Design Education [ACADIA Conference Proceedings] Ann Arbor (Michigan / USA) 28-30 October 1988, pp. 151-162
summary During the past year at the University of Oregon, we have conducted an experimental design studio in which each student had an Apple Macintosh SE microcomputer on his or her studio desk. Each term we experimented with a variety of software, furniture arrangements, and pedagogical approaches to integrating computers in design teaching. Like most others who have conducted such experiments, we encountered problems in trying to use hardware and software which is fundamentally inappropriate for the intuitive, graphic, and creative processes characteristic of preliminary design. However, we solved many of these problems and have produced useful techniques that may form the beginnings of a new approach to the use of computers in architecture schools.

Our results fall in three major categories: 1) pedagogical discoveries about learning to design with a computer, which is greater than the sum of learning to design and learning about computers; 2) design exercises based on the Macintosh environment, exploiting the unique graphic qualities of the machine while simultaneously developing the ideas and drawing skills needed in the preliminary stages of design; 3) descriptions of the studio environment, including hardware, software, workstation layouts, security solutions, and other practical information that might be useful to others who are contemplating a similar project.

series ACADIA
email
last changed 2022/06/07 07:54

_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 6354
authors McIntosh, Patricia G.
year 1988
title A Computational Tutor for Architectural Design
source Comput., Environ. and Urban Systems USA: 1988. vol. 12: pp. 213-219. includes bibliography.
summary The conceptual basis for a computational design tutoring environment whose purpose is to aid student designers in the search for design solutions is presented. Problems that students experience in the course of their design education are presented. These problems are related to previous work in development of computable representation of design. A specification for a computational learning environment for design students is outlined
keywords architecture, design, education, software
series CADline
last changed 2003/06/02 10:24

_id 404e
authors Oksala , T.
year 1988
title Logical Models for Rule-based CAAD
source CAAD futures ‘87 [Conference Proceedings / ISBN 0-444-42916-6] Eindhoven (The Netherlands), 20-22 May 1987, pp. 107-116
summary The aim of this paper is to present the basic results of a theoretic approach to represent architectural individual forms in CAD systems. From the point of view of design methodology and problem solving these descriptions might be conceived' as parts of possible environments satisfying the laws of some design theory in logical sense. This paper describes results in a series of logical studies towards rule and knowledge based systems for design automation. The effective use of programming languages and computers as design aids in architecture presupposes certain capabilities to articulate built environment logically. The use of graphic languages in the description of environmental items e.g. buildings might be theoretically mastered by formal production systems including linguistic, geometric, and spatio-material generation. The combination of the power of formal mechanisms and logical individual calculus offers suitable framework to generate arbitrary e.g. free spatial compositions as types or unique solutions. In this frame it is natural to represent in a coherent way very complex hierarchical parsing of buildings in explicit form as needed in computer implementations. In order to simulate real design work the individual configurations of possible built forms should be designed to satisfy known rules. In the preliminary stage partial solutions to design problems may be discussed in mathematical terms using frameworks like lattices, graphs, or group theoretical considerations of structural, functional, and visual organization of buildings. The capability to produce mathematically sophisticated geometric structures allows us to generalize the approach further. The theoretical design knowhow in architecture can be partly translated in to some logic and represented in a knowledge base. These rules are used as selection criteria for geometric design candidates in the sense of logical model theory and mathematical optimization. The economy of the system can be developed by using suitable conduct mechanisms familiar e.g. from logic programming. The semantics of logic offers a frame to consider computer assisted and formal generation in design. A number of semantic and pragmatic problems, however, remain to be solved. In any case conceptual analyses based on logic are applicable in order to rationally reconstruct architectural goals contributing to the quality of environmental design, which should be the main goal in the development of design systems in near future.
series CAAD Futures
last changed 1999/04/03 17:58

_id 98bd
authors Pea, R.
year 1993
title Practices of Distributed Intelligence and Designs for Education
source Distributed Cognitions, edited by G. Salomon. New York, NY: CambridgeUniversity Press
summary v Knowledge is commonly socially constructed, through collaborative efforts... v Intelligence may also be distributed for use in designed artifacts as diverse as physical tools, representations such as diagrams, and computer-user interfaces to complex tasks. v Leont'ev 1978 for activity theory that argues forcibly for the centrality of people-in-action, activity systems, as units of analysis for deepening our understanding of thinking. v Intelligence is distributed: the resources that shape and enable activity are distributed across people, environments, and situations. v Intelligence is accomplished rather than possessed. v Affordance refers to the perceived and actual properties of a thing, primarily those functional properties that determine how the thing could possibly be used. v Norman 1988 on design and psychology - the psychology of everyday things" v We deploy effort-saving strategies in recognition of their cognitive economy and diminished opportunity for error. v The affordances of artifacts may be more or less difficult to convey to novice users of these artifacts in the activities to which they contribute distributed intelligence. v Starts with Norman's seven stages of action Ø Forming a goal; an intention § Task desire - clear goal and intention - an action and a means § Mapping desire - unable to map goal back to action § Circumstantial desire - no specific goal or intention - opportunistic approach to potential new goal § Habitual desire - familiar course of action - rapidly cycle all seven stages of action v Differentiates inscriptional systems from representational or symbol systems because inscriptional systems are completely external, while representational or symbol systems have been used in cognitive science as mental constructs. v The situated properties of everyday cognition are highly inventive in exploiting features of the physical and social situation as resources for performing a task, thereby avoiding the need for mental symbol manipulations unless they are required by that task. v Explicit recognition of the intelligence represented and representable in design, specifically in designed artifacts that play important roles in human activities. v Once intelligence is designed into the affordances properties of artifacts, it both guides and constrains the likely contributions of that artifact to distributed intelligence in activity. v Culturally valued designs for distributed intelligence will change over time, especially as new technology becomes associated with a task domain. v If we treat distributed intelligence in action as the scientific unit of analysis for research and theory on learning and reasoning... Ø What is distributed? Ø What constraints govern the dynamics of such distributions in different time scales? Ø Through what reconfigurations of distributed intelligence might the performance of an activity system improve over time? v Intelligence is manifest in activity and distributed in nature. v Intelligent activities ...in the real world... are often collaborative, depend on resources beyond an individual's long-term memory, and require the use of information-handling tools... v Wartofsky 1979 - the artifact is to cultural evolution what the gene is to biological evolution - the vehicle of information across generations. v Systems of activity - involving persons, environment, tools - become the locus of developmental investigation. v Disagrees with Salomon et al.'s entity-oriented approach - a language of containers holding things. v Human cognition aspires to efficiency in distributing intelligence - across individuals, environment, external symbolic representations, tools, and artifacts - as a means of coping with the complexity of activities we often cal "mental." "
series other
last changed 2003/04/23 15:14

_id 7d26
authors Pearson, D.G., Alexander, C. and Webster, Robin
year 2001
title Working Memory and Expertise Differences in Design.
source J. S. Gero, B. Tversky and T. Purcell (eds), 2001, Visual and Spatial Reasoning in Design, II - Key Centre of Design Computing and Cognition, University of Sydney, Australia
summary The Creative Synthesis task devised by Finke and Slayton(1988) has been widely used as an experimental measure of mentalsynthesis, but previous studies have often failed to demonstrate anysignificant benefits of external support on participants’ performance.This paper discusses a study that examined novice and expert drawers’performance of synthesis using a modified stimuli set that was designedto increase the load on visuo-spatial working memory. The resultsshowed a significant increase in Transformational Complexity(Anderson & Hesltrup, 1993) of patterns produced by the expert groupwhile using sketching. It is argued that experts are more effective atusing sketching interactively to increase complexity, while novices relymore on using it as a simple memory aid.
series other
email
more http://www.arch.usyd.edu.au/kcdc/conferences/vr01/
last changed 2003/05/02 11:14

_id 252a
authors Reich, Yoram
year 1988
title Machine Learning for Expert Systems : Motivation and Techniques
source i-iii, 51 p. : some ill Pittsburgh, PA: Engineering Design Research Center, CMU, June, 1988. EDRC 12-27-88. includes bibliography. First generation expert systems suffer from two major problems: they are brittle and their development is a long, effortful process. Few successful expert systems for real world problems have been demonstrated. In this paper, learning, the key to intelligent behavior and expertise, is described as the answer to both expert systems deficiencies. Machine learning techniques are described, with their applicability to expert systems. A framework to organize machine learning techniques is provided. The description is followed by examples taken from the structural design domain. AI / learning / expert systems / structures / techniques. 37. Requicha, Aristides A. G. 'Mathematical Models of Rigid Solid Objects -- Production Automation Project.' Rochester, NY: College of Engineering & Applied Science, University of Rochester, November, 1977. [3], 37 p. : ill.
summary Computational models of solid objects are potentially useful in a variety of scientific and engineering fields, and in particular in the field of design and manufacturing automation for the mechanical industries. In recent years a multitude of modelling systems have been implemented both by research laboratories and commercial vendors, but little attention has been paid to the fundamental theoretical issues in geometric modelling. This has led to severe difficulties in assessing current and proposed systems, and in distinguishing essential capabilities and limitations from user conveniences and efficiency considerations. This paper seeks a sharp mathematical characterization of 'rigid solids' in a manner that is suitable for studies in design and production automation. It draws heavily on established results in modern geometry and topology. Relevant results scattered throughout the mathematical literature are placed in a coherent framework and presented in a form accessible to engineers and computer scientists. A companion paper is devoted to a discussion of representational issues in the context set forth by this paper
keywords solid modeling, geometric modeling
series CADline
last changed 1999/02/12 15:09

_id 2622
authors Schmitt, G.
year 1988
title Expert Systems and Interactive Fractal Generators in Design and Evaluation
source CAAD futures ‘87 [Conference Proceedings / ISBN 0-444-42916-6] Eindhoven (The Netherlands), 20-22 May 1987, pp. 91-106
summary Microcomputer based interactive programmable drafting programs and analysis packages are setting new standards for design support, systems in architectural offices. These programs allow the representation and performance simulation of design proposals with one tool, but they lack the ability to represent knowledge concerning relations between design and artifact. While they can expediate the traditional design and analysis process, they do not fundamentally improve it. We shall describe three computationally related approaches which could be a step towards a necessary paradigm change in developing design software. These approaches deal with expert design generators and evaluators, function oriented programming, and fractal design machines.
series CAAD Futures
email
last changed 2003/05/16 20:58

_id 0051
authors Wastell, D.G. and White, P.
year 1993
title Using Process Technology to Support Cooperative work: Prospects and Design Issues
source CSCW in Practice: An Introduction and Case Studies. pp. 105-126. Edited by Dan Diaper and Colston Sanger, London: Springer-Veriag
summary CSCW is a diverse and eclectic field. The theme which unifies CSCW is the question of group coordination, how it is achieved as a social phenomenon and how it may be actively assisted by computer-based support. The nature of these social processes are variously discussed in many of this book's other chapters. The issue of what is "true" CSCW and what is not is a contentious academic issue. Support for non-routine "professional" work such as collaborative writing would be widely accepted as a paradigm of CSCW (see, in particular, Sharples, Chapter 4; Gilbert, chapter 5; and Diaper, Chapter 6). Electronic mail, however, does not count for some as CSCW, because it is "not really tuned (or tunable) to the needs of the work group" (Greif, 1988). Technologies which support routine work would appear to fall into a particularly controversial category. Traditional office automation systems come under this heading.
series other
last changed 2003/04/23 15:14

_id ea75
authors Yeh, A. G.
year 1988
title Microcomputers in urban planning: applications, constraints and impacts
source Environment and Planning B : Planning and Design 15, pp. 241-254
summary Contributed by Susan Pietsch (spietsch@arch.adelaide.edu.au)
keywords 3D City Modeling, Development Control, Design Control
series other
last changed 2001/06/04 20:41

_id ecaade2022_299
id ecaade2022_299
authors Bauscher, Erik, Philipp, Klaus Jan, Reisinger, Stefanie and Wortmann, Thomas
year 2022
title Reimagining Gego: Geometrical Reconstruction of Nubes, an Undocumented and Lost Sculpture from 1974
doi https://doi.org/10.52842/conf.ecaade.2022.2.217
source Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 217–226
summary This paper describes a method to understand and digitally reconstruct two sculptures by Gertrud Goldschmidt, a German-born, Venezuelan artist also called Gego. Gego is best known for her series of works called “Reticuláres”. These three-dimensional and open installations, mostly hanging freely in space, are playing with the concept and perception of space as well as challenging the definition of the traditional sculpture. The paper aims to generate information about two specific structures called “Nubes” (Clouds for Spanish) to assist in a physical reconstruction for a larger exhibition about Gego and to contribute to understanding Gego’s work process. Originally, the structures were suspended from a building's ceiling as an art installation in Caracas, 1974. There are three main challenges for this reconstruction: (1) The installations exhibit a complex three-dimensional geometry. (2) Scant drawings and photographs exist. (3) Gego might not have followed her initial drawings completely when building Nubes physically, because of the mentioned complexity and due to the light and bendable material properties of the employed material. The paper describes a computational process that recreates the object’s geometry in four steps: (1) Analyse all existing media of the structure. (2) Translate found information to the digital environment of Grasshopper. (3) Use a physical simulation to derive the end state of the hanging structure. (4) Optimize and tune the simulation with an optimization algorithm for better results. This paper demonstrates the usefulness of computational tools for reconstructing lost sculptures with little documentation. In this case, these tools allow a more accurate reconstruction and contribute to a fuller understanding of the design and realization process of Gego's Nubes.
keywords Geometry Reconstruction, Lost Art, Computational Design, Physics Simulation
series eCAADe
email
last changed 2024/04/22 07:10

_id ddss9432
id ddss9432
authors Goldschmidt, G.
year 1994
title Visual Reference for Design: Analogy, Transformation and the Act of Sketching
source Second Design and Decision Support Systems in Architecture & Urban Planning (Vaals, the Netherlands), August 15-19, 1994
summary All designers know that it is impossible to infer a design solution from the givens of a task alone, no matter how complete and well presented they are. Therefore, designers seek to complementinformation they receive, and the material they bring into the task environment includes visual images. Images may be gathered from every imaginable source, from domain-specific images (in architecture they are usually classified and pertain to building type, location, period, technology, style or creator) through 'metaphoric' images (art, nature) to eclectic personal favourites. Inaddition, randomly encountered images may find their way into a database of references: a depository of potentially useful images. With the exception of factual information that fills in thetask givens, it is usually far from clear what purpose may be served by images in general, or to what use the specific images aligned for a particular task may be put. We propose that the singlemost significant 'on line' role of visual references during the process of designing is to suggest potential analogies to the entity that is being designed. The process of discovering and exploitingan analogy in design is complex; we shall explain it in terms of Gentner's structure mapping theory, which we adapt to visual structures. We further propose that the abstraction process thatmust take place for the successful identification and mapping from source (visual reference) onto target (designed entity) requires transformations of images, and such transformations are bestachieved through sketching. Sketching facilitates the two way process of movement from the pictorial to the diagrammatic and from the schematic to the figural. Such transformations musttake place to arrive at the match that allows conceptual transfer, mapping of structural relations and insight through analogy.
series DDSS
email
last changed 2003/08/07 16:36

_id f7b9
authors Goldschmidt, G.
year 1994
title On visual design thinking: the via kids of architecture
source Design Studies 15 (2), pp. 158-174
summary Designers invariably use imagery to generate new form combinations which they represent through sketching. But they also do the reverse: they sketch to generate images of forms in their minds. Common belief regards such activity as non-rational. In contrast, we assert that interactive imagery through sketching is a rational mode of reasoning, characterized by systematic exchanges between conceptual and figural arguments. Cognitive science, strongly dominated by a linguistic paradigm, has yet to recognize the paramount role of visual reasoning in many instances of problem solving; and in design tool-making, computational and otherwise, we must learn to optimize rather than bypass intuitive visuality.
series journal paper
last changed 2003/04/23 15:14

_id a875
authors Suwa, M., Gero, J.S. and Purcell, T.
year 1999
title How an Architect Created Design Requirements
source G. Goldschmidt and W. Porter (eds), Design Thinking Research Symposium: Design Representation, MIT, Cambridge, pp. II.101-124
summary There is an anecdotal view that designers, during a conceptual design process, not just synthesise solutions that satisfy initially given requirements, but also create by themselves novel design requirements that capture important aspects of the given problem. Further, it is believed that design sketches serve as a thinking tool for designers to do this. Then, what kinds of cognitive interaction with their own sketches enable designers to create novel requirements? The purpose of this paper is to answer this question. We examined the cognitive processes of a practising architect, using a protocol analysis technique. Our examinations focused on whether particular types of cognitive actions account for the creation of novel design requirements. We found that intensive occurrences of a certain type of perceptual actions, acts of establishing new relations or visual features on the sketches, are likely to co-occur with the creation of requirements. This suggests that this type of perceptual actions are the key constituent of acts of creating novel requirements, and therefore one of the important actions in sketching activities. This presents evidence of the view that designing is a situated act, as well as has an implication for design education.
keywords Design Requirements; Sketches; Design Cognition; Protocol Analysis
series journal paper
email
last changed 2003/03/31 08:37

_id 450c
authors Akin, Ömer
year 1990
title Computational Design Instruction: Toward a Pedagogy
source The Electronic Design Studio: Architectural Knowledge and Media in the Computer Era [CAAD Futures ‘89 Conference Proceedings / ISBN 0-262-13254-0] Cambridge (Massachusetts / USA), 1989, pp. 302-316
summary The computer offers enormous potential both in and out of the classroom that is realized only in limited ways through the applications available to us today. In the early days of the computer it was generally argued that it would replace the architect. When this idea became obsolete, the prevailing opinion of proponents and opponents alike shifted to the notion of the computer as merely adding to present design capabilities. This idea is so ingrained in our thinking that we still speak of "aiding" design with computers. It is clear to those who grasp the real potential of this still new technology - as in the case of many other major technological innovations - that it continues to change the way we design, rather than to merely augment or replace human designers. In the classroom the computer has the potential to radically change three fundamental ingredients: student, instruction, and instructor. It is obvious that changes of this kind spell out a commensurate change in design pedagogy. If the computer is going to be more than a passive instrument in the design studio, then design pedagogy will have to be changed, fundamentally. While the practice of computing in the studio continues to be a significant I aspect of architectural education, articulation of viable pedagogy for use in the design studio is truly rare. In this paper the question of pedagogy in the CAD studio will be considered first. Then one particular design studio taught during Fall 1988 at Carnegie Mellon University will be presented. Finally, we shall return to issues of change in the student, instruction, and instructor, as highlighted by this particular experience.
series CAAD Futures
email
last changed 2003/11/21 15:15

_id eb5f
authors Al-Sallal, Khaled A. and Degelman, Larry 0.
year 1994
title A Hypermedia Model for Supporting Energy Design in Buildings
doi https://doi.org/10.52842/conf.acadia.1994.039
source Reconnecting [ACADIA Conference Proceedings / ISBN 1-880250-03-9] Washington University (Saint Louis / USA) 1994, pp. 39-49
summary Several studies have discussed the limitations of the available CAAD tools and have proposed solutions [Brown and Novitski 1987, Brown 1990, Degelman and Kim 1988, Schuman et al 1988]. The lack of integration between the different tasks that these programs address and the design process is a major problem. Schuman et al [1988] argued that in architectural design many issues must be considered simultaneously before the synthesis of a final product can take place. Studies by Brown and Novitski [1987] and Brown [1990] discussed the difficulties involved with integrating technical considerations in the creative architectural process. One aspect of the problem is the neglect of technical factors during the initial phase of the design that, as the authors argued, results from changing the work environment and the laborious nature of the design process. Many of the current programs require the user to input a great deal of numerical values that are needed for the energy analysis. Although there are some programs that attempt to assist the user by setting default values, these programs distract the user with their extensive arrays of data. The appropriate design tool is the one that helps the user to easily view the principal components of the building design and specify their behaviors and interactions. Data abstraction and information parsimony are the key concepts in developing a successful design tool. Three different approaches for developing an appropriate CAAD tool were found in the literature. Although there are several similarities among them, each is unique in solving certain aspects of the problem. Brown and Novitski [1987] emphasize the learning factor of the tool as well as its highly graphical user interface. Degelman and Kim [1988] emphasize knowledge acquisition and the provision of simulation modules. The Windows and Daylighting Group of Lawrence Berkeley Laboratory (LBL) emphasizes the dynamic structuring of information, the intelligent linking of data, the integrity of the different issues of design and the design process, and the extensive use of images [Schuman et al 19881, these attributes incidentally define the word hypermedia. The LBL model, which uses hypermedia, seems to be the more promising direction for this type of research. However, there is still a need to establish a new model that integrates all aspects of the problem. The areas in which the present research departs from the LBL model can be listed as follows: it acknowledges the necessity of regarding the user as the center of the CAAD tool design, it develops a model that is based on one of the high level theories of human-computer interaction, and it develops a prototype tool that conforms to the model.

series ACADIA
email
last changed 2022/06/07 07:54

_id 0697
authors Balachandran, M.B. and Gero, John S.
year 1988
title Development of a Knowledge-Based System for Structural Optimization
source Dordrecht: Kluwer, 1988. pp. 17-24
summary Optimization is a useful and challenging activity in structural design. It provides designers with tools for better designs while saving time in the design process. The features of conventional optimization tools are presented and their limitations are outlined. The impact and role of knowledge-based methodologies in structural optimization processes is discussed. Structural optimization involves a number of tasks which require human expertise, and are traditionally assisted by human designers. These include design optimization formulation, problem recognition and the selection of appropriate algorithm(s). In this representation and processing of constraints are crucial tasks. This paper presents a framework for developing a knowledge-based system to accomplish these tasks. Based on the needs and the nature of the optimization process, a conceptual architecture of an integrated knowledge-based system is presented. The structure and functions of various components of the system are described
keywords knowledge base, systems, integration, optimization, structures, engineering
series CADline
email
last changed 2003/06/02 13:58

_id c568
authors Balachandran, M.B. and John S. Gero
year 1987
title A Model for Knowledge Based Graphical Interfaces
source AI '87: Proceedings of the Australian Joint Artificial Intelligence Conference. 1987. pp. 505-521. Also published in Artificial Intelligence Developments and Applications edited by J. S. Gero and R Stanton, North-Holland Pub. 1988. -- CADLINE has abstract only.
summary This paper describes a model for knowledge-based graphical interface which incorporates a variety of knowledge of the domain of application. The key issues considered include graphics interpretation, extraction of features of graphics objects and identification of prototype objects. The role of such knowledge-based interfaces in computer-aided design is discussed. A prototype system developed in Prolog and C is described and its application in the domain of structural engineering is demonstrated
keywords user interface, computer graphics, knowledge base, systems, civil engineering, structures
series CADline
email
last changed 2003/06/02 13:58

_id c6d5
authors Balachandran, M.B.
year 1988
title A Model for Knowledge-Based Design Optimization [PhD dissertation]
source Dept. of Architectural Science, University of Sydney
summary Unpublished. CADLINE has abstract only. This dissertation is concerned with developments in design decision methodologies applied to computer-aided design. The major aim of this research was to design and develop a knowledge-based computer-aided optimization system that has the ability to emulate some of the human performances in design decision processes. The issues and problems involved in developing a knowledge-based system for design optimization are addressed. A knowledge-based methodology to aid design optimization formulation is investigated. The major issues considered include representation of design description, the variety of knowledge required for the formulation process, recognizing optimization formulations, and selection of appropriate algorithms. It is demonstrated that the knowledge-based control of numerical processes leads to efficient and improved decisions in design. In developing knowledge-based systems for computer-aided decision applications an effective human-machine interface is essential. A model for knowledge-based graphical interfaces is proposed. This model incorporates knowledge for graphics interpretation, extraction of features of graphics objects and identification of prototypical objects. An experimental system developed in Prolog and C is demonstrated in the domain of structural design. The system shows one way of combining knowledge-based systems technology with computer graphics and indicates how knowledge-based interfaces improve the system's interactive capabilities. Finally, the system, OPTIMA, is presented. The system is designed as an integrated knowledge-based decision system using frames, rule bases, menu inputs, algebraic computation and optimization algorithms. The system has been written in LISP, Prolog and C and implemented on SUN Microsystems workstations. The performance of the system is demonstrated using two example problems from the domains of structural and architectural design respectively. The knowledge-based approach to design optimization is shown to be considerably easier and more efficient than those using conventional programs.
keywords Knowledge Base, Systems, CAD, Representation, Design, Frames, Computer Graphics, User Interface, Decision Making
series CADline
last changed 2003/06/02 13:58

_id c7f4
authors Bancroft, Pamela J. (ed.)
year 1988
title Computing in Design Education [ACADIA Conference Proceedings]
doi https://doi.org/10.52842/conf.acadia.1988
source ACADIA ‘88 Conference Proceedings /Ann Arbor (Michigan / USA) 28-30 October 1988, 311 p.
summary Progress is being made towards integrating computing into architectural design. This progress is not being made in a coordinated and systematic manner, which is actually a positive factor. Architects will never be scientists or engineers, who hold the distinguishing characteristic of being masters of the scientific method. We have never been so incumbered, although we certainly have given it our best effort.

Architects are creative problem solvers, primarily driven by intuition, while coming from a sense of the past and the logic of the present. Our initial attempts at integrating computing into the studio, as evidenced by this collection of papers, is very diverse, based on differing pedagogical assumptions, and the achieving of significantly different results. This would appear to be evidence of a revolutionary approach to the problem rather than a scientific evolutionary approach. Terrific! This is when we as architects are at our best. Although we reach a great number of emphatically dead ends, the successes and discoveries achieved along the way are significant.

The diversity and quality of papers submitted suggest that we are indeed pursuing the task of integration in our typical, individual, intuitive, logical manner. I commend all of the authors who submitted proposals and thank them for expanding the envelope of integration into their personal exploration.

series ACADIA
last changed 2022/06/07 07:49

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