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

PDF papers
References

Hits 1 to 20 of 521

Reformat results as: short short into frame detailed detailed into frame

_id	cabb
authors	Broughton, T., Tan, A. and Coates, P.S.
year	1997
title	The Use of Genetic Programming In Exploring 3D Design Worlds - A Report of Two Projects by Msc Students at CECA UEL
source	CAAD Futures 1997 [Conference Proceedings / ISBN 0-7923-4726-9] München (Germany), 4-6 August 1997, pp. 885-915
summary	Genetic algorithms are used to evolve rule systems for a generative process, in one case a shape grammar,which uses the "Dawkins Biomorph" paradigm of user driven choices to perform artificial selection, in the other a CA/Lindenmeyer system using the Hausdorff dimension of the resultant configuration to drive natural selection. (1) Using Genetic Programming in an interactive 3D shape grammar. A report of a generative system combining genetic programming (GP) and 3D shape grammars. The reasoning that backs up the basis for this work depends on the interpretation of design as search In this system, a 3D form is a computer program made up of functions (transformations) & terminals (building blocks). Each program evaluates into a structure. Hence, in this instance a program is synonymous with form. Building blocks of form are platonic solids (box, cylinder, etc.). A Variety of combinations of the simple affine transformations of translation, scaling, rotation together with Boolean operations of union, subtraction and intersection performed on the building blocks generate different configurations of 3D forms. Using to the methodology of genetic programming, an initial population of such programs are randomly generated,subjected to a test for fitness (the eyeball test). Individual programs that have passed the test are selected to be parents for reproducing the next generation of programs via the process of recombination. (2) Using a GA to evolve rule sets to achieve a goal configuration. The aim of these experiments was to build a framework in which a structure's form could be defined by a set of instructions encoded into its genetic make-up. This was achieved by combining a generative rule system commonly used to model biological growth with a genetic algorithm simulating the evolutionary process of selection to evolve an adaptive rule system capable of replicating any preselected 3D shape. The generative modelling technique used is a string rewriting Lindenmayer system the genes of the emergent structures are the production rules of the L-system, and the spatial representation of the structures uses the geometry of iso-spatial dense-packed spheres
series	CAAD Futures
email
last changed	2003/11/21 15:16

_id	avocaad_2001_02
id	avocaad_2001_02
authors	Cheng-Yuan Lin, Yu-Tung Liu
year	2001
title	A digital Procedure of Building Construction: A practical project
source	AVOCAAD - ADDED VALUE OF COMPUTER AIDED ARCHITECTURAL DESIGN, Nys Koenraad, Provoost Tom, Verbeke Johan, Verleye Johan (Eds.), (2001) Hogeschool voor Wetenschap en Kunst - Departement Architectuur Sint-Lucas, Campus Brussel, ISBN 80-76101-05-1
summary	In earlier times in which computers have not yet been developed well, there has been some researches regarding representation using conventional media (Gombrich, 1960; Arnheim, 1970). For ancient architects, the design process was described abstractly by text (Hewitt, 1985; Cable, 1983); the process evolved from unselfconscious to conscious ways (Alexander, 1964). Till the appearance of 2D drawings, these drawings could only express abstract visual thinking and visually conceptualized vocabulary (Goldschmidt, 1999). Then with the massive use of physical models in the Renaissance, the form and space of architecture was given better precision (Millon, 1994). Researches continued their attempts to identify the nature of different design tools (Eastman and Fereshe, 1994). Simon (1981) figured out that human increasingly relies on other specialists, computational agents, and materials referred to augment their cognitive abilities. This discourse was verified by recent research on conception of design and the expression using digital technologies (McCullough, 1996; Perez-Gomez and Pelletier, 1997). While other design tools did not change as much as representation (Panofsky, 1991; Koch, 1997), the involvement of computers in conventional architecture design arouses a new design thinking of digital architecture (Liu, 1996; Krawczyk, 1997; Murray, 1997; Wertheim, 1999). The notion of the link between ideas and media is emphasized throughout various fields, such as architectural education (Radford, 2000), Internet, and restoration of historical architecture (Potier et al., 2000). Information technology is also an important tool for civil engineering projects (Choi and Ibbs, 1989). Compared with conventional design media, computers avoid some errors in the process (Zaera, 1997). However, most of the application of computers to construction is restricted to simulations in building process (Halpin, 1990). It is worth studying how to employ computer technology meaningfully to bring significant changes to concept stage during the process of building construction (Madazo, 2000; Dave, 2000) and communication (Haymaker, 2000).In architectural design, concept design was achieved through drawings and models (Mitchell, 1997), while the working drawings and even shop drawings were brewed and communicated through drawings only. However, the most effective method of shaping building elements is to build models by computer (Madrazo, 1999). With the trend of 3D visualization (Johnson and Clayton, 1998) and the difference of designing between the physical environment and virtual environment (Maher et al. 2000), we intend to study the possibilities of using digital models, in addition to drawings, as a critical media in the conceptual stage of building construction process in the near future (just as the critical role that physical models played in early design process in the Renaissance). This research is combined with two practical building projects, following the progress of construction by using digital models and animations to simulate the structural layouts of the projects. We also tried to solve the complicated and even conflicting problems in the detail and piping design process through an easily accessible and precise interface. An attempt was made to delineate the hierarchy of the elements in a single structural and constructional system, and the corresponding relations among the systems. Since building construction is often complicated and even conflicting, precision needed to complete the projects can not be based merely on 2D drawings with some imagination. The purpose of this paper is to describe all the related elements according to precision and correctness, to discuss every possibility of different thinking in design of electric-mechanical engineering, to receive feedback from the construction projects in the real world, and to compare the digital models with conventional drawings.Through the application of this research, the subtle relations between the conventional drawings and digital models can be used in the area of building construction. Moreover, a theoretical model and standard process is proposed by using conventional drawings, digital models and physical buildings. By introducing the intervention of digital media in design process of working drawings and shop drawings, there is an opportune chance to use the digital media as a prominent design tool. This study extends the use of digital model and animation from design process to construction process. However, the entire construction process involves various details and exceptions, which are not discussed in this paper. These limitations should be explored in future studies.
series	AVOCAAD
email
last changed	2005/09/09 10:48

_id	ga0026
id	ga0026
authors	Ransen, Owen F.
year	2000
title	Possible Futures in Computer Art Generation
source	International Conference on Generative Art
summary	Years of trying to create an "Image Idea Generator" program have convinced me that the perfect solution would be to have an artificial artistic person, a design slave. This paper describes how I came to that conclusion, realistic alternatives, and briefly, how it could possibly happen. 1. The history of Repligator and Gliftic 1.1 Repligator In 1996 I had the idea of creating an “image idea generator”. I wanted something which would create images out of nothing, but guided by the user. The biggest conceptual problem I had was “out of nothing”. What does that mean? So I put aside that problem and forced the user to give the program a starting image. This program eventually turned into Repligator, commercially described as an “easy to use graphical effects program”, but actually, to my mind, an Image Idea Generator. The first release came out in October 1997. In December 1998 I described Repligator V4 [1] and how I thought it could be developed away from simply being an effects program. In July 1999 Repligator V4 won the Shareware Industry Awards Foundation prize for "Best Graphics Program of 1999". Prize winners are never told why they won, but I am sure that it was because of two things: 1) Easy of use 2) Ease of experimentation "Ease of experimentation" means that Repligator does in fact come up with new graphics ideas. Once you have input your original image you can generate new versions of that image simply by pushing a single key. Repligator is currently at version 6, but, apart from adding many new effects and a few new features, is basically the same program as version 4. Following on from the ideas in [1] I started to develop Gliftic, which is closer to my original thoughts of an image idea generator which "starts from nothing". The Gliftic model of images was that they are composed of three components: 1. Layout or form, for example the outline of a mandala is a form. 2. Color scheme, for example colors selected from autumn leaves from an oak tree. 3. Interpretation, for example Van Gogh would paint a mandala with oak tree colors in a different way to Andy Warhol. There is a Van Gogh interpretation and an Andy Warhol interpretation. Further I wanted to be able to genetically breed images, for example crossing two layouts to produce a child layout. And the same with interpretations and color schemes. If I could achieve this then the program would be very powerful. 1.2 Getting to Gliftic Programming has an amazing way of crystalising ideas. If you want to put an idea into practice via a computer program you really have to understand the idea not only globally, but just as importantly, in detail. You have to make hard design decisions, there can be no vagueness, and so implementing what I had decribed above turned out to be a considerable challenge. I soon found out that the hardest thing to do would be the breeding of forms. What are the "genes" of a form? What are the genes of a circle, say, and how do they compare to the genes of the outline of the UK? I wanted the genotype representation (inside the computer program's data) to be directly linked to the phenotype representation (on the computer screen). This seemed to be the best way of making sure that bred-forms would bare some visual relationship to their parents. I also wanted symmetry to be preserved. For example if two symmetrical objects were bred then their children should be symmetrical. I decided to represent shapes as simply closed polygonal shapes, and the "genes" of these shapes were simply the list of points defining the polygon. Thus a circle would have to be represented by a regular polygon of, say, 100 sides. The outline of the UK could easily be represented as a list of points every 10 Kilometers along the coast line. Now for the important question: what do you get when you cross a circle with the outline of the UK? I tried various ways of combining the "genes" (i.e. coordinates) of the shapes, but none of them really ended up producing interesting shapes. And of the methods I used, many of them, applied over several "generations" simply resulted in amorphous blobs, with no distinct family characteristics. Or rather maybe I should say that no single method of breeding shapes gave decent results for all types of images. Figure 1 shows an example of breeding a mandala with 6 regular polygons: Figure 1 Mandala bred with array of regular polygons I did not try out all my ideas, and maybe in the future I will return to the problem, but it was clear to me that it is a non-trivial problem. And if the breeding of shapes is a non-trivial problem, then what about the breeding of interpretations? I abandoned the genetic (breeding) model of generating designs but retained the idea of the three components (form, color scheme, interpretation). 1.3 Gliftic today Gliftic Version 1.0 was released in May 2000. It allows the user to change a form, a color scheme and an interpretation. The user can experiment with combining different components together and can thus home in on an personally pleasing image. Just as in Repligator, pushing the F7 key make the program choose all the options. Unlike Repligator however the user can also easily experiment with the form (only) by pushing F4, the color scheme (only) by pushing F5 and the interpretation (only) by pushing F6. Figures 2, 3 and 4 show some example images created by Gliftic. Figure 2 Mandala interpreted with arabesques Figure 3 Trellis interpreted with "graphic ivy" Figure 4 Regular dots interpreted as "sparks" 1.4 Forms in Gliftic V1 Forms are simply collections of graphics primitives (points, lines, ellipses and polygons). The program generates these collections according to the user's instructions. Currently the forms are: Mandala, Regular Polygon, Random Dots, Random Sticks, Random Shapes, Grid Of Polygons, Trellis, Flying Leap, Sticks And Waves, Spoked Wheel, Biological Growth, Chequer Squares, Regular Dots, Single Line, Paisley, Random Circles, Chevrons. 1.5 Color Schemes in Gliftic V1 When combining a form with an interpretation (described later) the program needs to know what colors it can use. The range of colors is called a color scheme. Gliftic has three color scheme types: 1. Random colors: Colors for the various parts of the image are chosen purely at random. 2. Hue Saturation Value (HSV) colors: The user can choose the main hue (e.g. red or yellow), the saturation (purity) of the color scheme and the value (brightness/darkness) . The user also has to choose how much variation is allowed in the color scheme. A wide variation allows the various colors of the final image to depart a long way from the HSV settings. A smaller variation results in the final image using almost a single color. 3. Colors chosen from an image: The user can choose an image (for example a JPG file of a famous painting, or a digital photograph he took while on holiday in Greece) and Gliftic will select colors from that image. Only colors from the selected image will appear in the output image. 1.6 Interpretations in Gliftic V1 Interpretation in Gliftic is best decribed with a few examples. A pure geometric line could be interpreted as: 1) the branch of a tree 2) a long thin arabesque 3) a sequence of disks 4) a chain, 5) a row of diamonds. An pure geometric ellipse could be interpreted as 1) a lake, 2) a planet, 3) an eye. Gliftic V1 has the following interpretations: Standard, Circles, Flying Leap, Graphic Ivy, Diamond Bar, Sparkz, Ess Disk, Ribbons, George Haite, Arabesque, ZigZag. 1.7 Applications of Gliftic Currently Gliftic is mostly used for creating WEB graphics, often backgrounds as it has an option to enable "tiling" of the generated images. There is also a possibility that it will be used in the custom textile business sometime within the next year or two. The real application of Gliftic is that of generating new graphics ideas, and I suspect that, like Repligator, many users will only understand this later. 2. The future of Gliftic, 3 possibilties Completing Gliftic V1 gave me the experience to understand what problems and opportunities there will be in future development of the program. Here I divide my many ideas into three oversimplified possibilities, and the real result may be a mix of two or all three of them. 2.1 Continue the current development "linearly" Gliftic could grow simply by the addition of more forms and interpretations. In fact I am sure that initially it will grow like this. However this limits the possibilities to what is inside the program itself. These limits can be mitigated by allowing the user to add forms (as vector files). The user can already add color schemes (as images). The biggest problem with leaving the program in its current state is that there is no easy way to add interpretations. 2.2 Allow the artist to program Gliftic It would be interesting to add a language to Gliftic which allows the user to program his own form generators and interpreters. In this way Gliftic becomes a "platform" for the development of dynamic graphics styles by the artist. The advantage of not having to deal with the complexities of Windows programming could attract the more adventurous artists and designers. The choice of programming language of course needs to take into account the fact that the "programmer" is probably not be an expert computer scientist. I have seen how LISP (an not exactly easy artificial intelligence language) has become very popular among non programming users of AutoCAD. If, to complete a job which you do manually and repeatedly, you can write a LISP macro of only 5 lines, then you may be tempted to learn enough LISP to write those 5 lines. Imagine also the ability to publish (and/or sell) "style generators". An artist could develop a particular interpretation function, it creates images of a given character which others find appealing. The interpretation (which runs inside Gliftic as a routine) could be offered to interior designers (for example) to unify carpets, wallpaper, furniture coverings for single projects. As Adrian Ward [3] says on his WEB site: "Programming is no less an artform than painting is a technical process." Learning a computer language to create a single image is overkill and impractical. Learning a computer language to create your own artistic style which generates an infinite series of images in that style may well be attractive. 2.3 Add an artificial conciousness to Gliftic This is a wild science fiction idea which comes into my head regularly. Gliftic manages to surprise the users with the images it makes, but, currently, is limited by what gets programmed into it or by pure chance. How about adding a real artifical conciousness to the program? Creating an intelligent artificial designer? According to Igor Aleksander [1] conciousness is required for programs (computers) to really become usefully intelligent. Aleksander thinks that "the line has been drawn under the philosophical discussion of conciousness, and the way is open to sound scientific investigation". Without going into the details, and with great over-simplification, there are roughly two sorts of artificial intelligence: 1) Programmed intelligence, where, to all intents and purposes, the programmer is the "intelligence". The program may perform well (but often, in practice, doesn't) and any learning which is done is simply statistical and pre-programmed. There is no way that this type of program could become concious. 2) Neural network intelligence, where the programs are based roughly on a simple model of the brain, and the network learns how to do specific tasks. It is this sort of program which, according to Aleksander, could, in the future, become concious, and thus usefully intelligent. What could the advantages of an artificial artist be? 1) There would be no need for programming. Presumbably the human artist would dialog with the artificial artist, directing its development. 2) The artificial artist could be used as an apprentice, doing the "drudge" work of art, which needs intelligence, but is, anyway, monotonous for the human artist. 3) The human artist imagines "concepts", the artificial artist makes them concrete. 4) An concious artificial artist may come up with ideas of its own. Is this science fiction? Arthur C. Clarke's 1st Law: "If a famous scientist says that something can be done, then he is in all probability correct. If a famous scientist says that something cannot be done, then he is in all probability wrong". Arthur C Clarke's 2nd Law: "Only by trying to go beyond the current limits can you find out what the real limits are." One of Bertrand Russell's 10 commandments: "Do not fear to be eccentric in opinion, for every opinion now accepted was once eccentric" 3. References 1. "From Ramon Llull to Image Idea Generation". Ransen, Owen. Proceedings of the 1998 Milan First International Conference on Generative Art. 2. "How To Build A Mind" Aleksander, Igor. Wiedenfeld and Nicolson, 1999 3. "How I Drew One of My Pictures: or, The Authorship of Generative Art" by Adrian Ward and Geof Cox. Proceedings of the 1999 Milan 2nd International Conference on Generative Art.
series	other
email
more	http://www.generativeart.com/
last changed	2003/08/07 17:25

_id	75a8
authors	Achten, Henri H.
year	1997
title	Generic representations : an approach for modelling procedural and declarative knowledge of building types in architectural design
source	Eindhoven University of Technology
summary	The building type is a knowledge structure that is recognised as an important element in the architectural design process. For an architect, the type provides information about norms, layout, appearance, etc. of the kind of building that is being designed. Questions that seem unresolved about (computational) approaches to building types are the relationship between the many kinds of instances that are generally recognised as belonging to a particular building type, the way a type can deal with varying briefs (or with mixed use), and how a type can accommodate different sites. Approaches that aim to model building types as data structures of interrelated variables (so-called ‘prototypes’) face problems clarifying these questions. The research work at hand proposes to investigate the role of knowledge associated with building types in the design process.Knowledge of the building type must be represented during the design process. Therefore, it is necessary to find a representation which supports design decisions, supports the changes and transformations of the design during the design process, encompasses knowledge of the design task, and which relates to the way architects design. It is proposed in the research work that graphic representations can be used as a medium to encode knowledge of the building type. This is possible if they consistently encode the things they represent; if their knowledge content can be derived, and if they are versatile enough to support a design process of a building belonging to a type.A graphic representation consists of graphic entities such as vertices, lines, planes, shapes, symbols, etc. Establishing a graphic representation implies making design decisions with respect to these entities. Therefore it is necessary to identify the elements of the graphic representation that play a role in decision making. An approach based on the concept of ‘graphic units’ is developed. A graphic unit is a particular set of graphic entities that has some constant meaning. Examples are: zone, circulation scheme, axial system, and contour. Each graphic unit implies a particular kind of design decision (e.g. functional areas, system of circulation, spatial organisation, and layout of the building). By differentiating between appearance and meaning, it is possible to define the graphic unit relatively shape-independent.If a number of graphic representations have the same graphic units, they deal with the same kind of design decisions. Graphic representations that have such a specifically defined knowledge content are called ‘generic representations.’ An analysis of over 220 graphic representations in the literature on architecture results in 24 graphic units and 50 generic representations. For each generic representation the design decisions are identified. These decisions are informed by the nature of the design task at hand. If the design task is a building belonging to a building type, then knowledge of the building type is required. In a single generic representation knowledge of norms, rules, and principles associated with the building type are used. Therefore, a single generic representation encodes declarative knowledge of the building type. A sequence of generic representations encodes a series of design decisions which are informed by the design task. If the design task is a building type, then procedural knowledge of the building type is used.By means of the graphic unit and generic representation, it is possible to identify a number of relations that determine sequences of generic representations. These relations are: additional graphic units, themes of generic representations, and successive graphic units. Additional graphic units defines subsequent generic representations by adding a new graphic unit. Themes of generic representations defines groups of generic representations that deal with the same kind of design decisions. Successive graphic units defines preconditions for subsequent or previous generic representations. On the basis of themes it is possible to define six general sequences of generic representations. On the basis of additional and successive graphic units it is possible to define sequences of generic representations in themes. On the basis of these sequences, one particular sequence of 23 generic representations is defined.The particular sequence of generic representations structures the decision process of a building type. In order to test this assertion, the particular sequence is applied to the office building type. For each generic representation, it is possible to establish a graphic representation that follows the definition of the graphic units and to apply the required statements from the office building knowledge base. The application results in a sequence of graphic representations that particularises an office building design.Implementation of seven generic representations in a computer aided design system demonstrates the use of generic representations for design support. The set is large enough to provide additional weight to the conclusion that generic representations map declarative and procedural knowledge of the building type.
series	thesis:PhD
email
more	http://alexandria.tue.nl/extra2/9703788.pdf
last changed	2003/11/21 15:15

_id	1fb3
authors	Akin, O., Cumming, M., Shealey, M. and Tuncer, B.
year	1997
title	An electronic design assistance tool for case-based representation of designs
source	Automation in Construction 6 (4) (1997) pp. 265-274
summary	In precedent based design, solutions to problems are developed by drawing from an understanding of landmark designs. Many of the key design operations in this mode are similar to the functionalities present in case-based reasoning systems: case matching, case adapting, and case representation. It is clear that a rich case-base, encoding all major product types in a design domain would be the centerpiece of such an approach. EDAT (Electronic Design Assistance Tool) is intended to assist in precedent based design in the studio with the potential of expansion into the office setting. EDAT has been designed using object oriented system development methods. EDAT was used in a design studio at Carnegie Mellon University, during Spring 1996.
series	journal paper
more	http://www.elsevier.com/locate/autcon
last changed	2003/05/15 21:22

_id	a93b
authors	Anders, Peter
year	1997
title	Cybrids: Integrating Cognitive and Physical Space in Architecture
source	Design and Representation [ACADIA ‘97 Conference Proceedings / ISBN 1-880250-06-3] Cincinatti, Ohio (USA) 3-5 October 1997, pp. 17-34
doi	https://doi.org/10.52842/conf.acadia.1997.017
summary	People regularly use non-physical, cognitive spaces to navigate and think. These spaces are important to architects in the design and planning of physical buildings. Cognitive spaces inform design - often underlying principles of architectural composition. They include zones of privacy, territory and the space of memory and visual thought. They let us to map our environment, model or plan projects, even imagine places like Heaven or Hell. Cyberspace is an electronic extension of this cognitive space. Designers of virtual environments already know the power these spaces have on the imagination. Computers are no longer just tools for projecting buildings. They change the very substance of design. Cyberspace is itself a subject for design. With computers architects can design space both for physical and non-physical media. A conscious integration of cognitive and physical space in architecture can affect construction and maintenance costs, and the impact on natural and urban environments. This paper is about the convergence of physical and electronic space and its potential effects on architecture. The first part of the paper will define cognitive space and its relationship to cyberspace. The second part will relate cyberspace to the production of architecture. Finally, a recent project done at the University of Michigan Graduate School of Architecture will illustrate the integration of physical and cyberspaces.
series	ACADIA
email
last changed	2022/06/07 07:54

_id	58f4
authors	Barequet, G. and Kumar, S.
year	1997
title	Repairing CAD models
source	Proceedings of IEEE Visualizationí97, pp. 363-370
summary	We describe an algorithm for repairing polyhedral CAD models that have errors in their B-REP. Errors like cracks, degeneracies, duplication, holes and overlaps are usually introduced in solid models due to imprecise arithmetic, model transformations, designer's fault, programming bugs, etc. Such errors often hamper further processing like finite element analysis, radiosity computation and rapid prototyping. Our fault-repair algorithm converts an unordered collection of polygons to a shared-vertex representation to help eliminate errors. This is done by choosing, for each polygon edge, the most appropriate edge to unify it with. The two edges are then geometrically merged into one, by moving vertices. At the end of this process, each polygon edge is either coincident with another or is a boundary edge for a polygonal hole or a dangling wall and may be appropriately repaired. Finally, in order to allow user- inspection of the automatic corrections, we produce a visualization of the repair and let the user mark the corrections that conflict with the original design intent. A second iteration of the correction algorithm then produces a repair that is commensurate with the intent. Thus, by involving the users in a feedback loop, we are able to refine the correction to their satisfaction.
series	other
email
last changed	2003/04/23 15:14

_id	debf
authors	Bertol, D.
year	1997
title	Designing Digital Space - An Architect's Guide to Virtual Reality
source	John Wiley & Sons, New York
summary	The first in-depth book on virtual reality (VR) aimed specifically at architecture and design professionals, Designing Digital Space steers you skillfully through the learning curve of this exciting new technology. Beginning with a historical overview of the evolution of architectural representations, this unique resource explains what VR is, how it is being applied today, and how it promises to revolutionize not only the design process, but the form and function of the built environment itself. Vividly illustrating how VR fits alongside traditional methods of architectural representation, this comprehensive guide prepares you to make optimum practical use of this powerful interactive tool, and embrace the new role of the architect in a virtually designed world. Offers in-depth coverage of the virtual universe-data representation and information management, static and dynamic worlds, tracking and visual display systems, control devices, and more. Examines a wide range of current VR architectural applications, from walkthroughs, simulations, and evaluations to reconstructions and networked environments Includes insightful essays by leading VR developers covering some of today's most innovative projects Integrates VR into the historical framework of architectural development, with detailed sections on the past, present, and future Features a dazzling array of virtual world images and sequential displays Explores the potential impact of digital architecture on the built environment of the future
series	other
last changed	2003/04/23 15:14

_id	2b38
authors	Bradford, J., Wong, R. and Yeung, C.S.K.
year	1997
title	Hierarchical Decomposition of Architectural Computer Models
source	CAADRIA ‘97 [Proceedings of the Second Conference on Computer Aided Architectural Design Research in Asia / ISBN 957-575-057-8] Taiwan 17-19 April 1997, pp. 197-203
doi	https://doi.org/10.52842/conf.caadria.1997.197
summary	Architectural models can be represented in a hierarchy of complexity. Higher level or more complex architecture structures are then designed by repetitively instantiating libraries of building blocks. The advantages are that the object can be achieved in modular fashion and any modification to the definition of a building block can be easily propagated to all higher level objects using the block. Unfortunately, many existing representations of architectural models are monolithic instead of hierarchical and modular, thus, making the reuse of models very difficult and inefficient. This paper describes a research project on developing a tool to decompose a monolithic architectural model into elementary building blocks and then create a hierarchy in the model representation. The tool provides a graphical interface for the visualization of a model and a cutting plane. An associated algorithm will then automatically detach parts of the model into building blocks depending on where the user is applying the cutting plane. Studies will also be made on dividing more complex models employing spherical and NURBS surfaces.
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	a96b
authors	Cao, Quinsan and Protzen, Jean-Pierre
year	1997
title	Managing Information with Fuzzy Reasoning System in Design Reasoning and Issue-Based Argumentation
source	CAAD Futures 1997 [Conference Proceedings / ISBN 0-7923-4726-9] München (Germany), 4-6 August 1997, pp. 771-786
summary	Design by argumentation is a natural character of design process with social participation. Issue-Based Information System (IBIS) is an information representation system based on a structured database. It provides a hierarchically linked database structure to manage design information and facilitate design by argumentation. In this paper, we explore the enhancement of IBIS with FRS (Fuzzy Reasoning System) technology. The FRS adds computationally implemented dynamic links to the database of IBIS. Such dynamic links can represent logic relations and reasoning operations among related issues which allows further clarification of relations among issues in IBS. The enhanced system provides a general framework to manage design information and to assist design reasoning, which in turn will contribute to machine assisted design. The final goal is to formulate a system that can represent design knowledge and assist reasoning in design analysis. The system can help designers in clarifying and understanding design related issues, requirements and evaluating potential design alternatives. To demonstrate the system and its potential use, we reexamine a design experiment presented by Schon and represent the design knowledge and reasoning rules of the architects with our system, FRS-IBIS.
series	CAAD Futures
last changed	1999/04/06 09:19

_id	7a20
id	7a20
authors	Carrara, G., Fioravanti, A.
year	2002
title	SHARED SPACE’ AND ‘PUBLIC SPACE’ DIALECTICS IN COLLABORATIVE ARCHITECTURAL DESIGN.
source	Proceedings of Collaborative Decision-Support Systems Focus Symposium, 30th July, 2002; under the auspices of InterSymp-2002, 14° International Conference on Systems Research, Informatics and Cybernetics, 2002, Baden-Baden, pg. 27-44.
summary	The present paper describes on-going research on Collaborative Design. The proposed model, the resulting system and its implementation refer mainly to architectural and building design in the modes and forms in which it is carried on in advanced design firms. The model may actually be used effectively also in other environments. The research simultaneously pursues an integrated model of the: a) structure of the networked architectural design process (operators, activities, phases and resources); b) required knowledge (distributed and functional to the operators and the process phases). The article focuses on the first aspect of the model: the relationship that exists among the various ‘actors’ in the design process (according to the STEP-ISO definition, Wix, 1997) during the various stages of its development (McKinney and Fischer, 1998). In Collaborative Design support systems this aspect touches on a number of different problems: database structure, homogeneity of the knowledge bases, the creation of knowledge bases (Galle, 1995), the representation of the IT datum (Carrara et al., 1994; Pohl and Myers, 1994; Papamichael et al., 1996; Rosenmann and Gero, 1996; Eastman et al., 1997; Eastman, 1998; Kim, et al., 1997; Kavakli, 2001). Decision-making support and the relationship between ‘private’ design space (involving the decisions of the individual design team) and the ‘shared’ design space (involving the decisions of all the design teams, Zang and Norman, 1994) are the specific topic of the present article. Decisions taken in the ‘private design space’ of the design team or ‘actor’ are closely related to the type of support that can be provided by a Collaborative Design system: automatic checks performed by activating procedures and methods, reporting of 'local' conflicts, methods and knowledge for the resolution of ‘local’ conflicts, creation of new IT objects/ building components, who the objects must refer to (the ‘owner’), 'situated' aspects (Gero and Reffat, 2001) of the IT objects/building components. Decisions taken in the ‘shared design space’ involve aspects that are typical of networked design and that are partially present in the ‘private’ design space. Cross-checking, reporting of ‘global’ conflicts to all those concerned, even those who are unaware they are concerned, methods for their resolution, the modification of data structure and interface according to the actors interacting with it and the design phase, the definition of a 'dominus' for every IT object (i.e. the decision-maker, according to the design phase and the creation of the object). All this is made possible both by the model for representing the building (Carrara and Fioravanti, 2001), and by the type of IT representation of the individual building components, using the methods and techniques of Knowledge Engineering through a structured set of Knowledge Bases, Inference Engines and Databases. The aim is to develop suitable tools for supporting integrated Process/Product design activity by means of a effective and innovative representation of building entities (technical components, constraints, methods) in order to manage and resolve conflicts generated during the design activity.
keywords	Collaborative Design, Architectural Design, Distributed Knowledge Bases, ‘Situated’ Object, Process/Product Model, Private/Shared ‘Design Space’, Conflict Reduction.
series	other
type	symposium
email
last changed	2005/03/30 16:25

_id	6279
id	6279
authors	Carrara, G.; Fioravanti, A.
year	2002
title	Private Space' and ‘Shared Space’ Dialectics in Collaborative Architectural Design
source	InterSymp 2002 - 14th International Conference on Systems Research, Informatics and Cybernetics (July 29 - August 3, 2002), pp 28-44.
summary	The present paper describes on-going research on Collaborative Design. The proposed model, the resulting system and its implementation refer mainly to architectural and building design in the modes and forms in which it is carried on in advanced design firms. The model may actually be used effectively also in other environments. The research simultaneously pursues an integrated model of the: a) structure of the networked architectural design process (operators, activities, phases and resources); b) required knowledge (distributed and functional to the operators and the process phases). The article focuses on the first aspect of the model: the relationship that exists among the various ‘actors’ in the design process (according to the STEP-ISO definition, Wix, 1997) during the various stages of its development (McKinney and Fischer, 1998). In Collaborative Design support systems this aspect touches on a number of different problems: database structure, homogeneity of the knowledge bases, the creation of knowledge bases (Galle, 1995), the representation of the IT datum (Carrara et al., 1994; Pohl and Myers, 1994; Papamichael et al., 1996; Rosenmann and Gero, 1996; Eastman et al., 1997; Eastman, 1998; Kim, et al., 1997; Kavakli, 2001). Decision-making support and the relationship between ‘private’ design space (involving the decisions of the individual design team) and the ‘shared’ design space (involving the decisions of all the design teams, Zang and Norman, 1994) are the specific topic of the present article. Decisions taken in the ‘private design space’ of the design team or ‘actor’ are closely related to the type of support that can be provided by a Collaborative Design system: automatic checks performed by activating procedures and methods, reporting of 'local' conflicts, methods and knowledge for the resolution of ‘local’ conflicts, creation of new IT objects/ building components, who the objects must refer to (the ‘owner’), 'situated' aspects (Gero and Reffat, 2001) of the IT objects/building components. Decisions taken in the ‘shared design space’ involve aspects that are typical of networked design and that are partially present in the ‘private’ design space. Cross-checking, reporting of ‘global’ conflicts to all those concerned, even those who are unaware they are concerned, methods for their resolution, the modification of data structure and interface according to the actors interacting with it and the design phase, the definition of a 'dominus' for every IT object (i.e. the decision-maker, according to the design phase and the creation of the object). All this is made possible both by the model for representing the building (Carrara and Fioravanti, 2001), and by the type of IT representation of the individual building components, using the methods and techniques of Knowledge Engineering through a structured set of Knowledge Bases, Inference Engines and Databases. The aim is to develop suitable tools for supporting integrated Process/Product design activity by means of a effective and innovative representation of building entities (technical components, constraints, methods) in order to manage and resolve conflicts generated during the design activity.
keywords	Collaborative Design, Architectural Design, Distributed Knowledge Bases, ‘Situated’ Object, Process/Product Model, Private/Shared ‘Design Space’, Conflict Reduction.
series	other
type	symposium
email
last changed	2012/12/04 07:53

_id	c1ad
authors	Cheng, Nancy Yen-wen
year	1997
title	Teaching CAD with Language Learning Methods
source	Design and Representation [ACADIA ‘97 Conference Proceedings / ISBN 1-880250-06-3] Cincinatti, Ohio (USA) 3-5 October 1997, pp. 173-188
doi	https://doi.org/10.52842/conf.acadia.1997.173
summary	By looking at computer aided design as design communication we can use pedagogical methods from the well-developed discipline of language learning. Language learning breaks down a complex field into attainable steps, showing how learning strategies and attitudes can enhance mastery. Balancing the linguistic emphases of organizational analysis, communicative intent and contextual application can address different learning styles. Guiding students in learning approaches from language study will equip them to deal with constantly changing technology. From overall curriculum planning to specific exercises, language study provides a model for building a learner-centered education. Educating students about the learning process, such as the variety of metacognitive, cognitive and social/affective strategies can improve learning. At an introductory level, providing a conceptual framework and enhancing resource-finding, brainstorming and coping abilities can lead to threshold competence. Using kit-of-parts problems helps students to focus on technique and content in successive steps, with mimetic and generative work appealing to different learning styles. Practicing learning strategies on realistic projects hones the ability to connect concepts to actual situations, drawing on resource-usage, task management, and problem management skills. Including collaborative aspects in these projects provides the motivation of a real audience and while linking academic study to practical concerns. Examples from architectural education illustrate how the approach can be implemented.
series	ACADIA
email
last changed	2022/06/07 07:55

_id	ddss9829
id	ddss9829
authors	De Hoog, J., Hendriks, N.A. and Rutten, P.G.S.
year	1998
title	Evaluating Office Buildings with MOLCA(Model for Office Life Cycle Assessment)
source	Timmermans, Harry (Ed.), Fourth Design and Decision Support Systems in Architecture and Urban Planning Maastricht, the Netherlands), ISBN 90-6814-081-7, July 26-29, 1998
summary	MOLCA (Model for Office Life Cycle Assessment) is a project that aims to develop a tool that enables designers and builders to evaluate the environmental impact of their designs (of office buildings) from a environmental point of view. The model used is based on guidelinesgiven by ISO 14000, using the so-called Life Cycle Assessment (LCA) method. The MOLCA project started in 1997 and will be finished in 2001 resulting in the aforementioned tool. MOLCA is a module within broader research conducted at the Eindhoven University of Technology aiming to reduce design risks to a minimum in the early design stages.Since the MOLCA project started two major case-studies have been carried out. One into the difference in environmental load caused by using concrete and steel roof systems respectively and the role of recycling. The second study focused on biases in LCA data and how to handle them. For the simulations a computer-model named SimaPro was used, using the world-wide accepted method developed by CML (Centre for the Environment, Leiden, the Netherlands). With this model different life-cycle scenarios were studied and evaluated. Based on those two case studies and a third one into an office area, a first model has been developed.Bottle-neck in this field of study is estimating average recycling and re-use percentages of the total flow of material waste in the building sector and collecting reliable process data. Another problem within LCA studies is estimating the reliability of the input data and modelling uncertainties. All these topics will be subject of further analysis.
keywords	Life-Cycle Assessment, Office Buildings, Uncertainties in LCA
series	DDSS
last changed	2003/08/07 16:36

_id	0627
authors	Dijkstra, J. and Timmermans, H.J.P.
year	1997
title	Exploring the Possibilities of Conjoint Measurement as a Decision-Making Tool for Virtual Wayfinding Environments
source	CAADRIA ‘97 [Proceedings of the Second Conference on Computer Aided Architectural Design Research in Asia / ISBN 957-575-057-8] Taiwan 17-19 April 1997, pp. 61-71
doi	https://doi.org/10.52842/conf.caadria.1997.061
summary	Virtual reality systems may have a lot to offer in architecture and urban planning when visual and active environments may have a dramatic impact on individual preferences and choice behaviour. Conjoint analysis involves the use of designed hypothetical choice situations to measure individuals’ preferences and predict their choice in new situations. Conjoint experiments involve the design and analysis of hypothetical decision tasks. Alternatives are described by their main features, called attributes. Multiple hypothetical alternatives, called product profiles, are generated and presented to respondents, who are requested to express their degree of preference for these profiles or choose between these profiles. Conjoint experiments have become a popular tool to model individual preferences and decision-making in a variety of research areas. Most studies of conjoint analysis have involved a verbal description of product profiles, although some studies have used a pictorial presentation of production profiles. Virtual reality systems offer the potential of moving the response format beyond these traditional response modes. This paper describes a particular aspect of an ongoing research project which aims to develop a virtual reality based system for conjoint analysis. The principles underlying the system will be illustrated by a simple example of wayfinding in a virtual environment.
series	CAADRIA
last changed	2022/06/07 07:55

_id	a5c7
authors	Hovestadt, Ludger and Hovestadt, Volkmar
year	1997
title	ARMILLA5 - Supporting Design, Construction and Management of Complex Buildings
source	CAAD Futures 1997 [Conference Proceedings / ISBN 0-7923-4726-9] München (Germany), 4-6 August 1997, pp. 135-150
summary	ARMILLA5 is a generic computer aided design system, which supports the cooperative design of complex buildings (such as labs, offices or schools) over multiple levels of abstraction. It follows the metaphor of a virtual building site. The designers and engineers meet at a spatial location on the Internet and prepare the building construction by simulating the building site. This article describes the three essential components of the ARMILLA5-model: the geometric model which describes the spatial and physical aspects of the building site, the semantic model which implements passive building components as objects and active building components as applets or applications, and the planning model, which organizes the work steps of the individual engineers and their cooperation. The model is described using different software prototypes written in Objective C, CAD systems and HTML/JAVA.
keywords	Dynamic Buildings, CAAD, CSCW, VRML, Case-based Reasoning, Facility Management, Augmented Reality
series	CAAD Futures
email
last changed	1999/04/06 09:19

_id	e373
authors	Johnson, Robert E. and Clayton, Mark
year	1997
title	The Impact of Information Technology in Design and Construction: The Owner's Perspective
source	Design and Representation [ACADIA ‘97 Conference Proceedings / ISBN 1-880250-06-3] Cincinatti, Ohio (USA) 3-5 October 1997, pp. 229-241
doi	https://doi.org/10.52842/conf.acadia.1997.229
summary	This paper reports on findings of a November 1996 exploratory survey of architecture-engineering clients (Fortune 500 corporate facility managers). This research investigated how the practices of corporate facility managers are being influenced by rapid changes in information technology. The conceptual model that served as a guide for this research hypothesized that information technology acts as both an enabler (that is, information technology provides an effective mechanism for managers to implement desired changes) as well as a source of innovation (that is, new information technology innovations create new facility management opportunities). The underlying assumption of this research is that information technology is evolving from a tool that incrementally improves "back-office" productivity to an essential component of strategic positioning that may alter the basic economics, organizational structure and operational practices of facility management organizations and their interactions with service providers (architects, engineers and constructors). The paper concludes with a discussion of researchable issues.
series	ACADIA
email
last changed	2022/06/07 07:52

_id	454c
authors	Jun, H. and Gero, J.S.
year	1997
title	Representation, re-representation and emergence in collaborative computer-aided design
source	Maher, M.L., Gero, J.S. and Sudweeks, F. (eds), Preprints Formal Aspects of Collaborative Computer-Aided Design, Key Centre of Design Computing, University of Sydney, Sydney, pp. 303-320
summary	Representation of drawings in CAD systems can cause problems during design collaboration. The notion of re-representation is proposed as one way of addressing these problems. Furthermore, re-representation is one way of allowing emergence to occur; emergence is an important aspect of collaborative computer-mediated design. Based on the concept of re-representation a model for collaborative CAD supporting emergence is presented and an example is demonstrated.
keywords	Representation, Emergence, Collaborative CAD
series	journal paper
email
last changed	2003/05/15 21:33

_id	a99e
authors	Kalay, Yehuda E.
year	1997
title	P3: An Integrated Environment to Support Design Collaboration
source	Design and Representation [ACADIA ‘97 Conference Proceedings / ISBN 1-880250-06-3] Cincinatti, Ohio (USA) 3-5 October 1997, pp. 191-205
doi	https://doi.org/10.52842/conf.acadia.1997.191
summary	Buildings are the combined product of the efforts of many participants interacting in complex ways over a prolonged period of time. Currently, sequential communication among the participants is the standard means of collaboration. This method, which is well suited to current legal and professional practices, is inefficient, fraught with loss of information and prone to errors, cost and schedule overruns, and promotes optimization of individual parts at the expense of the overall project. This paper describes an integrated design environment that will facilitate collaborative decision making among the various participants, not merely communicate the results of decisions made by one participant to the other participants in the design team. It is based on the convergence of computing and telecommunication technologies, coupled with the emergence of new design paradigms, which together can overcome the technical difficulties associate with current collaborative design practices. It comprises three different modules: a product model, a performance model, and a process model (hence it is called P3). The paper presents each of these models and their integration into a unified framework.
series	ACADIA
email
last changed	2022/06/07 07:52

_id	8e5c
authors	Khemlani, Lachmi and Kalay, Yehuda E.
year	1997
title	An Integrated Computing Environment for Collaborative, Multi-Disciplinary Building Design
source	CAAD Futures 1997 [Conference Proceedings / ISBN 0-7923-4726-9] München (Germany), 4-6 August 1997, pp. 389-416
summary	The increasing complexity of the built environment requires that more knowledge and experience be brought to bear on its design, construction and maintenance. The commensurate growth of knowledge in the participating disciplines-architecture, engineering, construction management, facilities management, and others-has tended to diversify each one into many sub-specializations. The resulting fragmentation of the design-built-use process is potentially detrimental to the overall quality of built environment. An efficient system of collaboration between all the specialist participants is needed to offset the effects of fragmentation. It is here that computers, with their ubiquitous presence in all disciplines, can serve as a medium of communication and form the basis of a collaborative, multi- disciplinary design environment. This paper describes the ongoing research on the development of such an integrated computing environment that will provide the basis for design and evaluation tools ranging across the many building-related disciplines. The bulk of the discussion will focus on the problem of a building representation that can be shared by all these disciplines, which, we posit, lies at the core of such an environment. We discuss the criteria that characterize this shared building representation, and present our solution to the problem. The proposed model has been adapted from geometric modeling, and addresses explicitly the difficult Problem of generality versus completeness of the represented information. The other components of the integrated environment that are under development are also described. The paper concludes with some implementation details and a brief look at two evaluation tools that use the proposed building representation for their task.
series	CAAD Futures
email
last changed	1999/04/06 09:19

For more results click below: