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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	c6dd
authors	Fruchter, Renate
year	1996
title	COMPUTER INTEGRATED ARCHITECTURE/ENGINEERING/CONSTRUCTION PROJECT-CENTERED LEARNING ENVIRONMENT
doi	https://doi.org/10.52842/conf.acadia.1996.227
source	Design Computation: Collaboration, Reasoning, Pedagogy [ACADIA Conference Proceedings / ISBN 1-880250-05-5] Tucson (Arizona / USA) October 31 - November 2, 1996, pp. 227-234
summary	This paper describes an on-going effort, initiated at Stanford's Civil Engineering Department, to develop, implement, and test a new and innovative "Computer Integrated Architecture./Engineering/Construction" (A/E/C) course. The course takes a multi-site, cross- disciplinary, project-centered, team-oriented approach to teaching. The paper presents the motivation, methodology, computational infrastructure, and initial observations in the experimental A/E/C course. The course is sponsored by NSF Synthesis Coalition and is the result of the collaborative effort of faculty and researchers from Civil Engineering Department at Stanford University, and Architecture Department and Civil Engineering Department, at UC Berkeley. In this computer integrated A/EIC environment a new generation of architecture, engineering, construction students learns how to team up with other disciplines and the advantage of the emerging information technologies for collaborative work in order to design and build higher quality buildings faster.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:50

_id	ddssup9610
id	ddssup9610
authors	Krafta, Romulo
year	1996
title	Built form and urban configuration development simulation
source	Timmermans, Harry (Ed.), Third Design and Decision Support Systems in Architecture and Urban Planning - Part two: Urban Planning Proceedings (Spa, Belgium), August 18-21, 1996
summary	The "centrality/potential" model, proposed by Krafta (1994), for configurational development, aims at the simulation of inner city built form growth. This is generally achieved by simulating the uneven distribution of floor area increments, resulting from replacement of old buildings, considered "devalued capital" form new ones. The model considers two main variables - public urban space system and built form - and treats them unevenly; the former is extensively disaggregated whereas the latter is not. This feature enables the model to make just a rough account of intra-urban built form development. The issue of built form simulation is then taken further in the following way: a) Urban built form is disaggregated by types. Buildings are classified by a cross combination of scale, purpose, age and quality standard; b) The city is itself considered as a set of intertwined typologic cities. This means that each unit of public space is identified by its dominant built form type, producing a multilayered-discontinuous city. Each one has its own market characteristics: rentability, technological availability and demand size; c) The market constraints determine which layer-city has priority over the others, as well as each one's size of growth. References to rentability and demand size gives each built form type priorities for development d) Spatial conditions, in the form of particular evaluation of centrality and spatial opportunity measures, regulates the distribution of built form increments and typological succession. Locational values, denoted by centrality and spatial opportunity measures, area differently accounted for in each layer-city simulation. e) Simulation is obtained by "running" the model recursively. Each built form type is simulated separately and in hyerarquical order, so that priority and replacement of built form types is acknowledged properly.
series	DDSS
email
last changed	2003/08/07 16:36

_id	8832
authors	MacCallum, C. and Hanna, R.
year	1996
title	DEFLECT: A Computer Aided Learning Package For Teaching Structural Design
doi	https://doi.org/10.52842/conf.ecaade.1996.253
source	Education for Practice [14th eCAADe Conference Proceedings / ISBN 0-9523687-2-2] Lund (Sweden) 12-14 September 1996, pp. 253-262
summary	The teaching of structures and its integration with design teaching has been seen as one of the major problems in design education in schools of architecture world-wide. A number of suggestions have been put forward to improve the quality of teaching in structures in architecture. These include the production of computer based learning materials, and the use of the computer as a ‘substitute’ tutor. This paper reports on a SHEFC funded project jointly carried out by the Department of Civil Engineering, University of Paisley, the Mackintosh School of Architecture, and Lamp Software. The project aims to build a computer-assisted learning package on the response of structures to load. The software will be used as an interactive teaching tool for both architectural and engineering students. The package has three levels: Beginners (Level 1), Intermediate (Level 2) and Advanced (Level 3). The first two levels have been completed after continuous feedback from both institutions. Level 1 is geared towards architectural and engineering students to help them understand structural behaviour of building components, such as deflection. Level 2 is a graphical editor that enables students to draw precisely the structure of their designs, investigate the deflection of structural members and identify areas of tension and compression. Level 3 is a design tool aimed at architectural and civil engineering students where they can design and analyse realistic structures by choosing structural members from a library, and specify materials and multiple loads. Prior to its final release, the software package was appraised by students from both institutions. Analysis of results from questionnaires revealed that students expressed a great deal of 'satisfaction' with many of its teaching and learning attributes. The outcome of this project will promote and enhance students’ understanding of the response of structures to load; it will also help students grasp the impact of varying building materials and cross sectional properties on the structural form.
series	eCAADe
email
last changed	2022/06/07 07:59

_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	aa7c
authors	Amirante, M. Isabella and Burattini, Ernesto
year	1996
title	Automatic Procedures for Bio-Climatic Control
doi	https://doi.org/10.52842/conf.ecaade.1996.029
source	Education for Practice [14th eCAADe Conference Proceedings / ISBN 0-9523687-2-2] Lund (Sweden) 12-14 September 1996, pp. 29-40
summary	The experiences illustrated here are related to the new regulation of teaching architecture in Italy and these ones in particular have been concentrated on the technological aspects of teaching architecture. We can consider the evolution of the architect from the individual operator to the manager multi- disciplinary aspects of the building process ( building process manager) as a reality today. Information technology, specifically applied to bio-climatic architecture and environmental control, can be of great importance for this professional role, and for this reason it is very useful to include these topics at the beginning the teaching design process. This paper describes a particular approach to bio-climatic problems of the architectural project. An experimental course has been performed by the second year students of the "Laboratorio di Construzione dell' Architettura", at the School of Architecture of the Second University of Naples, in Aversa. Analysing old and new buildings, they used some flow charts for the evaluation and representation of energetic behaviour of buildings regarding their climatic and geographical environment. In the flow charts the decisions are represented by boxes that allow to determine "rightness index" related to: morphological characters of the site and environment, typology and particular organisation of the inside spaces, shape of building, technological solution of the building "skin". The navigation through the decision boxes is made with simple options like; "winds: protected or exposed site", "shape of building; free, close or cross plane", "presence of trees on the south,; yes or not",; it shows the students the bio-climatic quality of the building and, through numeric value assigned to each option, determines the "weight" of its climatic comfort.
series	eCAADe
last changed	2022/06/07 07:54

_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	ddssar9614
id	ddssar9614
authors	Halman, J.I.M.and Prins, M.
year	1996
title	Virtual Reality in Architectural Design Management
source	Timmermans, Harry (Ed.), Third Design and Decision Support Systems in Architecture and Urban Planning - Part one: Architecture Proceedings (Spa, Belgium), August 18-21, 1996
summary	In this paper new forms of network-based organizations are discussed in general and within the building industry in particular. Special attention is given to cross functional network teams. New emerging building design and construction functions within these network teams are explained. Network-based organizations in the building industry are considered to be virtual organizations "avant la lettre". The shift to these types of organizations in the building industry can strongly be supported by developments in information technology. A new IT-concept, the extranet is introduced and explained in the paper.
series	DDSS
last changed	2003/08/07 16:36

_id	ca47
authors	Lee, Shu Wan
year	1996
title	A Cognitive Approach to Architectural Style Several Characteristics of Design Thinking in Architecture
doi	https://doi.org/10.52842/conf.caadria.1996.223
source	CAADRIA ‘96 [Proceedings of The First Conference on Computer Aided Architectural Design Research in Asia / ISBN 9627-75-703-9] Hong Kong (Hong Kong) 25-27 April 1996, pp. 223-226
summary	Designing is a complicated human behaviour and method, and is often treated as a mysterious "black box” operation in human mind. In the early period as for theory-studying of design thinking, the way of thinking that the researchers took were mostly descriptive discussions. Therefore, they lacked direct and empirical evidence although those studies provided significant exploration of design thinking (Wang, 1995). In recent years as for the study of cognitive science, they have tried to make design "glass box”. That is to try to make the thinking processes embedded in designers publicized. That is also to externalize the design procedure which provided the design studies another theoretical basis of more accurate and deeply researched procedure (Jones, 1992). Hence the studying of design thinking has become more important and the method of designing has also progressed a lot. For example, the classification of the nature of design problem such as ill-defined and well-defined (Newell, Shaw, and Simon, 1967), and different theoretical procedure modes for different disciplines, such as viewing architectural models as conjecture-analysis models and viewing engineering models as analysis-synthesis (Cross, 1991).
series	CAADRIA
last changed	2022/06/07 07:52

_id	ga9927
id	ga9927
authors	Neagu, Mariana
year	1999
title	On Linguistic Aspects from a Cross-cultural Perspective
source	International Conference on Generative Art
summary	The goal of this paper is to discuss the issue of culture and its relationship to language and cognition by dealing with a number of lexical concepts, grammatical concepts and cultural scripts. Taking a moderate view, I reconcile universalism and ethnocentrism and argue that the study of culture-specific aspects of language has both a theoretical and practical importance. The role of universal semantic primes is obvious in culture-specific words such as the Japanese amae (a peculiarly Japanese emotion) which, though unique and untranslatable, can be accurately and intelligibly defined in terms of semantic primes (Wierzbicka, 1996). The view that meanings cannot be fully transferred from one language to another is supported by the difference in meaning manifested in the different range of use of the word happy (a common, everyday word in modern English) and joyful (a more literally and stylistically marked term.). A cross-linguistic analysis of the concept ‘happy’in English, Romanian, German, French, Italian, points to the so-called ‘traditional Anglo-Saxon distate for extreme emotions’. As far as aspects of grammar connected with culture are concerned, I compare expressive grammatical devices like intensifiers in English, Romanian and Italian. The question the paper addresses is whether constructions like syntactic reduplication(e.g. bella bella) and the absolute superlative (e.g. bellissimo) are indeed linked with what has been called ‘the theatrical quality’ of Italian life (Barzini, 1964) or not. Relative to Romanian, I assume that the idea of intensity of a state or action is conveyed, in certain registers, by terms and expressions pertaining to basic element source domains such as fire (e.g. frumoasa foc ‘fire-beautiful’) and earth (e.g. frumusetea pamantului ‘beauty of the earth’) and also by syntactic reduplication (e.g. frumoasa-frumoaselor ’beauty of the beauties’). Finally, I approach aspects of pragmatics which are culturally determined in the sense that they express cultural norms, values, ideals, attitudes. For instance, preferences are expressed directly in English while in Japanese this manner is contrary to the ideal of enryo ’restraint, reserve’.
series	other
more	http://www.generativeart.com/
last changed	2003/08/07 17:25

_id	c363
authors	Pieglb, Les and Tillera, Wayne
year	1996
title	Algorithm for approximate NURBS skinning
source	Computer-Aided Design, Vol. 28 (9) (1996) pp. 699-706
summary	An algorithm for approximate skinning through cross-sectionalNURBS curves is presented. The method eliminates the problem of dealing with huge amounts of control points obtained during the curvecompatability process. It also allows the designer to specify large numbers of cross-sections and approximately fit a smooth surface to these curves to any given tolerance. Depending on the tolerances used, up to99% of the control points can be eliminated.
keywords	NURBS, Surface Skinning, Curves and Surfaces, Algorithms
series	journal paper
last changed	2003/05/15 21:33

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