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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Hits 1 to 20 of 518

_id a5a3
authors Jagielski, Romuald and Gero, John S.
year 1997
title A Genetic Programming Approach to the Space Layout Planning Problem
source CAAD Futures 1997 [Conference Proceedings / ISBN 0-7923-4726-9] München (Germany), 4-6 August 1997, pp. 875-884
summary The space layout planning problem belongs to the class of NP-hard problems with a wide range of practical applications. Many algorithms have been developed in the past, however recently evolutionary techniques have emerged as an alternative approach to their solution. In this paper, a genetic programming approach, one variation of evolutionary computation, is discussed. A representation of the space layout planning problem suitable for genetic programming is presented along with some implementation details and results.
series CAAD Futures
email
last changed 2003/02/23 11:00

_id 2483
authors Gero, J.S. and Kazakov, V.
year 1997
title Learning and reusing information in space layout problems using genetic engineering
source Artificial Intelligence in Engineering 11(3):329-334
summary The paper describes the application of a genetic engineering based extension to genetic algorithms to the layout planning problem. We study the gene evolution which takes place when an algorithm of this type is running and demonstrate that in many cases it effectively leads to the partial decomposition of the layout problem by grouping some activit ies together and optimally placing these groups during the first stage of the computation. At a second stage it optimally places activities within these groups. We show that the algorithm finnds the solution faster than standard evolutionary methods and that evolved genes represent design features that can be re-used later in a range of similar problems.
keywords Genetic Engineering, Learning
series other
email
last changed 2001/09/08 12:04

_id ga9921
id ga9921
authors Coates, P.S. and Hazarika, L.
year 1999
title The use of genetic programming for applications in the field of spatial composition
source International Conference on Generative Art
summary Architectural design teaching using computers has been a preoccupation of CECA since 1991. All design tutors provide their students with a set of models and ways to form, and we have explored a set of approaches including cellular automata, genetic programming ,agent based modelling and shape grammars as additional tools with which to explore architectural ( and architectonic) ideas.This paper discusses the use of genetic programming (G.P.) for applications in the field of spatial composition. CECA has been developing the use of Genetic Programming for some time ( see references ) and has covered the evolution of L-Systems production rules( coates 1997, 1999b), and the evolution of generative grammars of form (Coates 1998 1999a). The G.P. was used to generate three-dimensional spatial forms from a set of geometrical structures .The approach uses genetic programming with a Genetic Library (G.Lib) .G.P. provides a way to genetically breed a computer program to solve a problem.G. Lib. enables genetic programming to define potentially useful subroutines dynamically during a run .* Exploring a shape grammar consisting of simple solid primitives and transformations. * Applying a simple fitness function to the solid breeding G.P.* Exploring a shape grammar of composite surface objects. * Developing grammarsfor existing buildings, and creating hybrids. * Exploring the shape grammar of abuilding within a G.P.We will report on new work using a range of different morphologies ( boolean operations, surface operations and grammars of style ) and describe the use of objective functions ( natural selection) and the "eyeball test" ( artificial selection) as ways of controlling and exploring the design spaces thus defined.
series other
more http://www.generativeart.com/
last changed 2003/08/07 17:25

_id f7e8
authors Frazer, J.H. and Stephenson, P.
year 1997
title The Groningen Experiment
source Architectural Association Publications, publ. pend.
summary In its first five years, the Architectural Association's Diploma unit II developed the theoretical framework of an alternative generative process, using computer models to compress evolutionary space and time. This led to a prototype that could be demonstrated interactively and the launch on the Internet of an experimental evolutionary environment which attracted global participation, established a dematerialised model. The new phase of the programme has begun to externalise this conceptual model into constructed form, focusing on urban-scale evolution and other historical and natural examples of co-operative and ecologically i integrated development. The approach has been to consider metabolic processes as a way of understanding both the formal development of urban symbiosis and the specific problem of materialization. The city planning department of Groningen commissioned a small working prototype demonstration of a predictive urban computer model. The unit produced an evolving model which explains the transition from the past to the present, and projects future trajectories a "what if" model for generating, exploring and evaluating alternatives. The model mediates in scale, space and time: ; in scale between the urban context and the fine grain of the housing typologies ; in space between the existing fabric of Groningen and specific dwelling units ; in time between the lifestyle within the medieval core and the desires of the citizens of tile next century
series other
last changed 2003/04/23 15:14

_id a106
authors Martelli, T.
year 1997
title Automatic Procedure for the Dimensioning and Arrangement of Space Units of an Architectural Organism
source Challenges of the Future [15th eCAADe Conference Proceedings / ISBN 0-9523687-3-0] Vienna (Austria) 17-20 September 1997
doi https://doi.org/10.52842/conf.ecaade.1997.x.v5q
summary The application of a Mathematical Programming (M.P.) technique, typical of Operational Research (O. R.), is proposed as a means to cope with the decisional problem of layout dimensioning and arrangement. Within the ambit of O.R., Mathematical Programming. deals with decisional problems of simplest structure: only one decision factor, only one preference function, complete (deterministic) knowledge of the environment in which one operates.

Such a problem, in standard form, presents an objective function Z=f(x), of n variables x, to be minimized and a system of linear equations and/or inequalities, on the same variables, which represent the constraints and which define an admissible area for the solution.

The architectural organism is modelled as an assembly of parallelepiped shaped space entities or units, provided with a certain number of "holes" that permit functional corresponding connection. The pursued intent being optimal assembly.

The model, in its mathematical form, fits a standard Non-Linear M.P. (N.L.P.) problem, since the objective function Z is non-linear and the constraints are represented by inequalities. In its graphic form it reproduces an image of all the space units constituting the organism; moreover it is able to represent these units, in their logical and physical individuality, and their mutual relationship, as well as the ones with the external environment.

keywords Layout Dimensioning, Modelling, Mathematical Programming, Gradient Method
series eCAADe
email
more http://info.tuwien.ac.at/ecaade/proc/martelli/martelli.htm
last changed 2022/06/07 07:50

_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 acadia03_022
id acadia03_022
authors Anders, Peter
year 2003
title Towards Comprehensive Space: A context for the programming/design of cybrids
source Connecting >> Crossroads of Digital Discourse [Proceedings of the 2003 Annual Conference of the Association for Computer Aided Design In Architecture / ISBN 1-880250-12-8] Indianapolis (Indiana) 24-27 October 2003, pp. 161-171
doi https://doi.org/10.52842/conf.acadia.2003.161
summary Cybrids have been presented as mixed realities: spatial, architectural compositions comprised of physical and cyberspaces (Anders 1997). In order to create a rigorous approach to the design of architectural cybrids, this paper offers a model for programming their spaces. Other than accepting cyberspaces as part of architecture’s domain, this approach is not radical. Indeed, many parts of program development resemble those of conventional practice. However, the proposition that cyberspaces should be integrated with material structures requires that their relationship be developed from the outset of a project. Hence, this paper provides a method for their integration from the project’s earliest stages, the establishment of its program. This study for an actual project, the Planetary Collegium, describes a distributed campus comprising buildings and cyberspaces in various locales across the globe. The programming for these cybrids merges them within a comprehensive space consisting not only of the physical and cyberspaces, but also in the cognitive spaces of its designers and users.
series ACADIA
email
last changed 2022/06/07 07:54

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

_id 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 2354
authors Clayden, A. and Szalapaj, P.
year 1997
title Architecture in Landscape: Integrated CAD Environments for Contextually Situated Design
source Challenges of the Future [15th eCAADe Conference Proceedings / ISBN 0-9523687-3-0] Vienna (Austria) 17-20 September 1997
doi https://doi.org/10.52842/conf.ecaade.1997.x.q6p
summary This paper explores the future role of a more holistic and integrated approach to the design of architecture in landscape. Many of the design exploration and presentation techniques presently used by particular design professions do not lend themselves to an inherently collaborative design strategy.

Within contemporary digital environments, there are increasing opportunities to explore and evaluate design proposals which integrate both architectural and landscape aspects. The production of integrated design solutions exploring buildings and their surrounding context is now possible through the design development of shared 3-D and 4-D virtual environments, in which buildings no longer float in space.

The scope of landscape design has expanded through the application of techniques such as GIS allowing interpretations that include social, economic and environmental dimensions. In architecture, for example, object-oriented CAD environments now make it feasible to integrate conventional modelling techniques with analytical evaluations such as energy calculations and lighting simulations. These were all ambitions of architects and landscape designers in the 70s when computer power restricted the successful implementation of these ideas. Instead, the commercial trend at that time moved towards isolated specialist design tools in particular areas. Prior to recent innovations in computing, the closely related disciplines of architecture and landscape have been separated through the unnecessary development, in our view, of their own symbolic representations, and the subsequent computer applications. This has led to an unnatural separation between what were once closely related disciplines.

Significant increases in the performance of computers are now making it possible to move on from symbolic representations towards more contextual and meaningful representations. For example, the application of realistic materials textures to CAD-generated building models can then be linked to energy calculations using the chosen materials. It is now possible for a tree to look like a tree, to have leaves and even to be botanicaly identifiable. The building and landscape can be rendered from a common database of digital samples taken from the real world. The complete model may be viewed in a more meaningful way either through stills or animation, or better still, through a total simulation of the lifecycle of the design proposal. The model may also be used to explore environmental/energy considerations and changes in the balance between the building and its context most immediately through the growth simulation of vegetation but also as part of a larger planning model.

The Internet has a key role to play in facilitating this emerging collaborative design process. Design professionals are now able via the net to work on a shared model and to explore and test designs through the development of VRML, JAVA, whiteboarding and video conferencing. The end product may potentially be something that can be more easily viewed by the client/user. The ideas presented in this paper form the basis for the development of a dual course in landscape and architecture. This will create new teaching opportunities for exploring the design of buildings and sites through the shared development of a common computer model.

keywords Integrated Design Process, Landscape and Architecture, Shared Environmentsenvironments
series eCAADe
email
more http://info.tuwien.ac.at/ecaade/proc/szalapaj/szalapaj.htm
last changed 2022/06/07 07:50

_id 2ad9
authors Damski, José C. and Gero, John S.
year 1997
title An Evolutionary Approach to Generating Constraint-Based Space Layout Topologies
source CAAD Futures 1997 [Conference Proceedings / ISBN 0-7923-4726-9] München (Germany), 4-6 August 1997, pp. 855-864
summary This paper describes a system to produce space layout topologies for architectural plans using an evolutionary approach. The layout specification is defined as a set of topological and directional constraints, which are used as a fitness function in the evolutionary system. The halfplane representation is used to represent the genotypes in the evolutionary system, for both arrangements of halfplanes and the figures generated from those arrangements. As the halfplane representation proposed here does not distinguish between straight and non-straight boundaries, at the symbolic level the spaces and the layouts produced can also be bounded by straight or non-straight lines. The well known rectangular (polyomino) arrangements become a particular case only.
series CAAD Futures
email
last changed 1999/04/06 09:19

_id 389b
authors Do, Ellen Yi-Luen
year 2000
title Sketch that Scene for Me: Creating Virtual Worlds by Freehand Drawing
source Promise and Reality: State of the Art versus State of Practice in Computing for the Design and Planning Process [18th eCAADe Conference Proceedings / ISBN 0-9523687-6-5] Weimar (Germany) 22-24 June 2000, pp. 265-268
doi https://doi.org/10.52842/conf.ecaade.2000.265
summary With the Web people can now view virtual threedimensional worlds and explore virtual space. Increasingly, novice users are interested in creating 3D Web sites. Virtual Reality Modeling Language gained ISO status in 1997, although it is being supplanted by the compatible Java3D API and alternative 3D Web technologies compete. Viewing VRML scenes is relatively straightforward on most hardware platforms and browsers, but currently there are only two ways to create 3D virtual scenes: One is to code the scene directly using VRML. The other is to use existing CAD and modeling software, and save the world in VRML format or convert to VRML from some other format. Both methods are time consuming, cumbersome, and have steep learning curves. Pen-based user interfaces, on the other hand, are for many an easy and intuitive method for graphics input. Not only are people familiar with the look and feel of paper and pencil, novice users also find it less intimidating to draw what they want, where they want it instead of using a complicated tool palette and pull-down menus. Architects and designers use sketches as a primary tool to generate design ideas and to explore alternatives, and numerous computer-based interfaces have played on the concept of "sketch". However, we restrict the notion of sketch to freehand drawing, which we believe helps people to think, to envision, and to recognize properties of the objects with which they are working. SKETCH employs a pen interface to create three-dimensional models, but it uses a simple language of gestures to control a three-dimensional modeler; it does not attempt to interpret freehand drawings. In contrast, our support of 3D world creation using freehand drawing depend on users’ traditional understanding of a floor plan representation. Igarashi et al. used a pen interface to drive browsing in a 3D world, by projecting the user’s marks on the ground plane in the virtual world. Our Sketch-3D project extends this approach, investigating an interface that allows direct interpretation of the drawing marks (what you draw is what you get) and serves as a rapid prototyping tool for creating 3D virtual scenes.
keywords Freehand Sketching, Pen-Based User Interface, Interaction, VRML, Navigation
series eCAADe
email
more http://www.uni-weimar.de/ecaade/
last changed 2022/06/07 07:55

_id c2d8
id c2d8
authors Ozel, Filiz
year 1997
title Representing Design Decisions: An Object Oriented Approach
source Design and Representation [ACADIA ‘97 Conference Proceedings / ISBN 1-880250-06-3] Cincinatti, Ohio (USA) 3-5 October 1997, pp. 37-49
doi https://doi.org/10.52842/conf.acadia.1997.037
summary During the course of a design project numerous design decisions are made, usually with little attention paid to documenting them or keeping track of them. Systematic documentation and representation of design decisions can not only be invaluable in learning from past design experiences, but can also be good tools in teaching architectural design. By using abstraction and analogy to analyze a design precedent, a problem/sub-problem hierarchy can be built where similarities and differences between the precedent problem and the target problem, goals, constraints and solutions are identified for each level of the hierarchy. Each one of these can be represented as objects in an object oriented programming environment, allowing the construction of a hierarchic structure. This model was incorporated into a computer assisted learning system called "DesignRep" which was created by using Toolbook (Asymetrix Co.) object oriented development environment.
series ACADIA
email
last changed 2022/06/07 08:00

_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 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 sigradi2006_e131c
id sigradi2006_e131c
authors Ataman, Osman
year 2006
title Toward New Wall Systems: Lighter, Stronger, Versatile
source SIGraDi 2006 - [Proceedings of the 10th Iberoamerican Congress of Digital Graphics] Santiago de Chile - Chile 21-23 November 2006, pp. 248-253
summary Recent developments in digital technologies and smart materials have created new opportunities and are suggesting significant changes in the way we design and build architecture. Traditionally, however, there has always been a gap between the new technologies and their applications into other areas. Even though, most technological innovations hold the promise to transform the building industry and the architecture within, and although, there have been some limited attempts in this area recently; to date architecture has failed to utilize the vast amount of accumulated technological knowledge and innovations to significantly transform the industry. Consequently, the applications of new technologies to architecture remain remote and inadequate. One of the main reasons of this problem is economical. Architecture is still seen and operated as a sub-service to the Construction industry and it does not seem to be feasible to apply recent innovations in Building Technology area. Another reason lies at the heart of architectural education. Architectural education does not follow technological innovations (Watson 1997), and that “design and technology issues are trivialized by their segregation from one another” (Fernandez 2004). The final reason is practicality and this one is partially related to the previous reasons. The history of architecture is full of visions for revolutionizing building technology, ideas that failed to achieve commercial practicality. Although, there have been some adaptations in this area recently, the improvements in architecture reflect only incremental progress, not the significant discoveries needed to transform the industry. However, architectural innovations and movements have often been generated by the advances of building materials, such as the impact of steel in the last and reinforced concrete in this century. There have been some scattered attempts of the creation of new materials and systems but currently they are mainly used for limited remote applications and mostly for aesthetic purposes. We believe a new architectural material class is needed which will merge digital and material technologies, embedded in architectural spaces and play a significant role in the way we use and experience architecture. As a principle element of architecture, technology has allowed for the wall to become an increasingly dynamic component of the built environment. The traditional connotations and objectives related to the wall are being redefined: static becomes fluid, opaque becomes transparent, barrier becomes filter and boundary becomes borderless. Combining smart materials, intelligent systems, engineering, and art can create a component that does not just support and define but significantly enhances the architectural space. This paper presents an ongoing research project about the development of new class of architectural wall system by incorporating distributed sensors and macroelectronics directly into the building environment. This type of composite, which is a representative example of an even broader class of smart architectural material, has the potential to change the design and function of an architectural structure or living environment. As of today, this kind of composite does not exist. Once completed, this will be the first technology on its own. We believe this study will lay the fundamental groundwork for a new paradigm in surface engineering that may be of considerable significance in architecture, building and construction industry, and materials science.
keywords Digital; Material; Wall; Electronics
series SIGRADI
email
last changed 2016/03/10 09:47

_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 63ea
authors Brown, A.G.P., Berridge, P. and Mackie, D.
year 1997
title Gaming as a Vehicle for Collaborative Designcollaborative design
source Challenges of the Future [15th eCAADe Conference Proceedings / ISBN 0-9523687-3-0] Vienna (Austria) 17-20 September 1997
doi https://doi.org/10.52842/conf.ecaade.1997.x.c5x
summary This paper outlines one approach to addressing the problem of participation in a properly understood process and goes on to show how the principles used are being reinforced by an interactive computer based application.
keywords Collaborative Design
series eCAADe
email
more http://info.tuwien.ac.at/ecaade/proc/berridge/berridge.htm
last changed 2022/06/07 07:50

_id 2698
authors Chien, Sheng Fen and Flemming, Ulrich
year 1997
title Information Navigation in Generative Design Systems
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. 355-365
doi https://doi.org/10.52842/conf.caadria.1997.355
summary Generative design systems take an active part in the generation of computational design models. They make it easier for designers to explore conceptual alternatives, but the amount of information generated during a design session can become very large. Intelligent navigation aids are needed to enable designers to access the information with ease and low cognitive loads. We present an approach to support navigation in generative design systems. Our approach takes account of studies related to navigation in physical environments as well as information navigation in electronic media. Results of studies from the physical environment and electronic media reveal that 1) people exhibit similar cognitive behaviours (spatial cognition and the use of spatial knowledge) while navigating in physical and information spaces; and 2) the information space lacks legibility and imageability. The proposed information navigation model take these findings into account.
series CAADRIA
email
last changed 2022/06/07 07:55

_id 40d7
authors Dalyrmple, Michael and Gerzso, Michael
year 1998
title Executable Drawings: The Computation of Digital Architecture
source Digital Design Studios: Do Computers Make a Difference? [ACADIA Conference Proceedings / ISBN 1-880250-07-1] Québec City (Canada) October 22-25, 1998, pp. 172-187
doi https://doi.org/10.52842/conf.acadia.1998.172
summary Architectural designs are principally represented by drawings. Usually, each drawing corresponds to one design or aspects of one design. On the other hand, one executable drawing corresponds to a set of designs. These drawings are the same as conventional drawings except that they have computer code or programs embedded in them. A specific design is the result of the computer executing the code in a drawing for a particular set of parameter values. If the parameters are changed, a new design or design variation is produced. With executable drawings, a CAD system is also a program editor. A designer not only designs by drawing but also programming. It fuses two activities: the first, drawing, is basic in architectural practice; and the second, progamming, or specifying the relation of outputs from inputs, is basic in computer system development. A consequence of executable drawings is that architectural form is represented by graphical entities (lines or shapes) as well as computer code or programs. This type of architecture we call digital architecture. Two simple examples are presented: first, the design of a building in terms of an executable drawing of the architects, Sangallo the Younger and Michelangelo, and second, a description of an object oriented implementation of a preliminary prototype of an executable drawing system written in 1997 which computes a simple office layout.
series ACADIA
email
last changed 2022/06/07 07:55

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