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

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_id	a833
authors	Jong, M. de
year	1986
title	A Spatial Relational Reference Model (3RM)
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 85-91
summary	In this chapter we hope to provide the reader with an impression of the objective, framework and possibilities of 3RM in the construction industry. In Dutch, 3RM stands for 'Ruimtelijk Relationeel Referentie Model' (Spatial Relational Reference Model). The model could begin to be used as an information-bearer in the building industry within which the specific trade information for each of the building participants could be interrelated, including drafting symbolism, building costs, physical qualities and building regulations. In this way, the model can be used as a means to a more efficient running of the building process and enabling the integration of information, at project level, provided by various building participants. The project should be defined in the same way as is a typical architectural project, whereby the actual development as well as the project management is carried out by architects. For the time being, development is limited to integral use at the design stage, but it also offers sufficient expansion possibilities to be able to function as a new communications model throughout the complete building process. We shall first provide information as to the origin, the objective and the execution of the project. Thereafter, we shall attempt to state the theoretical information problem within the building industry and the solution to this offered through 3RM. Finally, we shall report upon the results of the first phase of the 3RM project.
series	CAAD Futures
last changed	1999/04/03 17:58

_id	452c
authors	Vanier, D. J. and Worling, Jamie
year	1986
title	Three-dimensional Visualization: A Case Study
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 92-102
summary	Three-dimensional computer visualization has intrigued both building designers and computer scientists for decades. Research and conference papers present an extensive list of existing and potential uses for threedimensional geometric data for the building industry (Baer et al., 1979). Early studies on visualization include urban planning (Rogers, 1980), treeshading simulation (Schiler and Greenberg, 1980), sun studies (Anon, 1984), finite element analysis (Proulx, 1983), and facade texture rendering (Nizzolese, 1980). With the advent of better interfaces, faster computer processing speeds and better application packages, there had been interest on the part of both researchers and practitioners in three-dimensional -models for energy analysis (Pittman and Greenberg, 1980), modelling with transparencies (Hebert, 1982), super-realistic rendering (Greenberg, 1984), visual impact (Bridges, 1983), interference clash checking (Trickett, 1980), and complex object visualization (Haward, 1984). The Division of Building Research is currently investigating the application of geometric modelling in the building delivery process using sophisticated software (Evans, 1985). The first stage of the project (Vanier, 1985), a feasibility study, deals with the aesthetics of the mode. It identifies two significant requirements for geometric modelling systems: the need for a comprehensive data structure and the requirement for realistic accuracies and tolerances. This chapter presents the results of the second phase of this geometric modelling project, which is the construction of 'working' and 'presentation' models for a building.
series	CAAD Futures
email
last changed	2003/05/16 20:58

_id	a6f1
authors	Bridges, A.H.
year	1986
title	Any Progress in Systematic Design?
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 5-15
summary	In order to discuss this question it is necessary to reflect awhile on design methods in general. The usual categorization discusses 'generations' of design methods, but Levy (1981) proposes an alternative approach. He identifies five paradigm shifts during the course of the twentieth century which have influenced design methods debate. The first paradigm shift was achieved by 1920, when concern with industrial arts could be seen to have replaced concern with craftsmanship. The second shift, occurring in the early 1930s, resulted in the conception of a design profession. The third happened in the 1950s, when the design methods debate emerged; the fourth took place around 1970 and saw the establishment of 'design research'. Now, in the 1980s, we are going through the fifth paradigm shift, associated with the adoption of a holistic approach to design theory and with the emergence of the concept of design ideology. A major point in Levy's paper was the observation that most of these paradigm shifts were associated with radical social reforms or political upheavals. For instance, we may associate concern about public participation with the 1970s shift and the possible use (or misuse) of knowledge, information and power with the 1980s shift. What has emerged, however, from the work of colleagues engaged since the 1970s in attempting to underpin the practice of design with a coherent body of design theory is increasing evidence of the fundamental nature of a person's engagement with the design activity. This includes evidence of the existence of two distinctive modes of thought, one of which can be described as cognitive modelling and the other which can be described as rational thinking. Cognitive modelling is imagining, seeing in the mind's eye. Rational thinking is linguistic thinking, engaging in a form of internal debate. Cognitive modelling is externalized through action, and through the construction of external representations, especially drawings. Rational thinking is externalized through verbal language and, more formally, through mathematical and scientific notations. Cognitive modelling is analogic, presentational, holistic, integrative and based upon pattern recognition and pattern manipulation. Rational thinking is digital, sequential, analytical, explicatory and based upon categorization and logical inference. There is some relationship between the evidence for two distinctive modes of thought and the evidence of specialization in cerebral hemispheres (Cross, 1984). Design methods have tended to focus upon the rational aspects of design and have, therefore, neglected the cognitive aspects. By recognizing that there are peculiar 'designerly' ways of thinking combining both types of thought process used to perceive, construct and comprehend design representations mentally and then transform them into an external manifestation current work in design theory is promising at last to have some relevance to design practice.
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	23bc
authors	Demko, Stephen, Hodges, Laurie and Naylor, Bruce F.
year	1985
title	Construction of Fractal Objects with Iterated Function Systems
source	SIGGRAPH '85 Conference Proceedings. July, 1985. vol. 19 ; no. 3: pp. 271-278 : ill. col. includes bibliography
summary	In computer graphics, geometric modeling of complex objects is a difficult process. An important class of complex objects arise from natural phenomena: trees, plants, clouds, mountains, etc. Researchers are investigating a variety of techniques for extending modeling capabilities to include these as well as other classes. One mathematical concept that appears to have significant potential for this is fractals. Much interest currently exists in the general scientific community in using fractals as a model of complex natural phenomena. However, only a few methods for generating fractal sets are known. We have been involved in the development of a new approach to computing fractals. Any set of linear maps (affine transformations) and an associated set of probabilities determines an Iterated Function System (IFS). Each IFS has a unique 'attractor' which is typically a fractal set (object). Specification of only a few maps can produce very complicated objects. Design of fractal objects is made relatively simple and intuitive by the discovery of an important mathematical property relating the fractal sets to the IFS. The method also provides the possibility of solving the inverse problem, given the geometry of an object, determine an IFS that will (approximately) generate that geometry. This paper presents the application of the theory of IFS to geometric modeling
keywords	computer graphics, geometric modeling, fractals, visualization
series	CADline
last changed	2003/06/02 13:58

_id	78ca
authors	Friedland, P. (Ed.)
year	1985
title	Special Section on Architectures for Knowledge-Based Systems
source	CACM (28), 9, September
summary	A fundamental shift in the preferred approach to building applied artificial intelligence (AI) systems has taken place since the late 1960s. Previous work focused on the construction of general-purpose intelligent systems; the emphasis was on powerful inference methods that could function efficiently even when the available domain-specific knowledge was relatively meager. Today the emphasis is on the role of specific and detailed knowledge, rather than on reasoning methods.The first successful application of this method, which goes by the name of knowledge-based or expert-system research, was the DENDRAL program at Stanford, a long-term collaboration between chemists and computer scientists for automating the determination of molecular structure from empirical formulas and mass spectral data. The key idea is that knowledge is power, for experts, be they human or machine, are often those who know more facts and heuristics about a domain than lesser problem solvers. The task of building an expert system, therefore, is predominantly one of teaching" a system enough of these facts and heuristics to enable it to perform competently in a particular problem-solving context. Such a collection of facts and heuristics is commonly called a knowledge base. Knowledge-based systems are still dependent on inference methods that perform reasoning on the knowledge base, but experience has shown that simple inference methods like generate and test, backward-chaining, and forward-chaining are very effective in a wide variety of problem domains when they are coupled with powerful knowledge bases. If this methodology remains preeminent, then the task of constructing knowledge bases becomes the rate-limiting factor in expert-system development. Indeed, a major portion of the applied AI research in the last decade has been directed at developing techniques and tools for knowledge representation. We are now in the third generation of such efforts. The first generation was marked by the development of enhanced AI languages like Interlisp and PROLOG. The second generation saw the development of knowledge representation tools at AI research institutions; Stanford, for instance, produced EMYCIN, The Unit System, and MRS. The third generation is now producing fully supported commercial tools like KEE and S.1. Each generation has seen a substantial decrease in the amount of time needed to build significant expert systems. Ten years ago prototype systems commonly took on the order of two years to show proof of concept; today such systems are routinely built in a few months. Three basic methodologies-frames, rules, and logic-have emerged to support the complex task of storing human knowledge in an expert system. Each of the articles in this Special Section describes and illustrates one of these methodologies. "The Role of Frame-Based Representation in Reasoning," by Richard Fikes and Tom Kehler, describes an object-centered view of knowledge representation, whereby all knowldge is partitioned into discrete structures (frames) having individual properties (slots). Frames can be used to represent broad concepts, classes of objects, or individual instances or components of objects. They are joined together in an inheritance hierarchy that provides for the transmission of common properties among the frames without multiple specification of those properties. The authors use the KEE knowledge representation and manipulation tool to illustrate the characteristics of frame-based representation for a variety of domain examples. They also show how frame-based systems can be used to incorporate a range of inference methods common to both logic and rule-based systems.""Rule-Based Systems," by Frederick Hayes-Roth, chronicles the history and describes the implementation of production rules as a framework for knowledge representation. In essence, production rules use IF conditions THEN conclusions and IF conditions THEN actions structures to construct a knowledge base. The autor catalogs a wide range of applications for which this methodology has proved natural and (at least partially) successful for replicating intelligent behavior. The article also surveys some already-available computational tools for facilitating the construction of rule-based knowledge bases and discusses the inference methods (particularly backward- and forward-chaining) that are provided as part of these tools. The article concludes with a consideration of the future improvement and expansion of such tools.The third article, "Logic Programming, " by Michael Genesereth and Matthew Ginsberg, provides a tutorial introduction to the formal method of programming by description in the predicate calculus. Unlike traditional programming, which emphasizes how computations are to be performed, logic programming focuses on the what of objects and their behavior. The article illustrates the ease with which incremental additions can be made to a logic-oriented knowledge base, as well as the automatic facilities for inference (through theorem proving) and explanation that result from such formal descriptions. A practical example of diagnosis of digital device malfunctions is used to show how significantand complex problems can be represented in the formalism.A note to the reader who may infer that the AI community is being split into competing camps by these three methodologies: Although each provides advantages in certain specific domains (logic where the domain can be readily axiomatized and where complete causal models are available, rules where most of the knowledge can be conveniently expressed as experiential heuristics, and frames where complex structural descriptions are necessary to adequately describe the domain), the current view is one of synthesis rather than exclusivity. Both logic and rule-based systems commonly incorporate frame-like structures to facilitate the representation of large amounts of factual information, and frame-based systems like KEE allow both production rules and predicate calculus statements to be stored within and activated from frames to do inference. The next generation of knowledge representation tools may even help users to select appropriate methodologies for each particular class of knowledge, and then automatically integrate the various methodologies so selected into a consistent framework for knowledge. "
series	journal paper
last changed	2003/04/23 15:14

_id	0551
authors	Haller, Fritz
year	1985
title	The Design of Buildings Which Have Complex Mechanical Infrastructure Using Expert Systems
source	1985? 24 p. : ill. Co-authored by several contributors. Includes bibliography
summary	The paper presents a project whose aim is to find better methods for the design of buildings like laboratories, office buildings, schools, hospitals etc., which have complex mechanical systems. The design of the mechanical infrastructure in such buildings is as important as the design of other architectural or construction parts. The fundamental idea of the project is to integrate design problems of the mechanical system into the design of the architectural and structural concepts of the entire building. This is based on the belief that using an expert system containing computer programs for the solution of design problems can support the whole design process and that the design of buildings having complex mechanical infrastructure can be qualitatively better and more efficient than the design with traditional methods
keywords	architecture, expert systems, mechanical, systems, applications, design, building, construction
series	CADline
last changed	1999/02/12 15:08

_id	a48a
authors	Kalay, Yehuda E. and Shibley, Robert G.
year	1985
title	Computer-Aided Design Research and Technology Transfer : Report of the SUNY-AB Symposium
source	Buffalo: November, 1985. pp. 1-16
summary	To explore modes of creative relationship between the university, government, industry and professional practice for the purpose of computer-aided design (CAD) research, development, and education in the disciplines that relate to design, construction and management of building, the School of Architecture and Planning of the State University of New York Buffalo, in cooperation with the Maedl Group of Buffalo New York, have assembled a panel of experts to deliberate and to explore how the transfer of CAD technology from research laboratories to architectural and engineering practices can best be accomplished. Institutionally the panel consisted of representatives of the university researchers and educators, private research and development corporations, a governmental agency that supports basic research and technology transfer, and the professional community who will ultimately use the produce
keywords	architecture, technology transfer, CAD, research, practice, education
series	CADline
email
last changed	2003/06/02 13:58

_id	e02f
authors	Lenart, Mihaly
year	1985
title	The Design of Buildings which Have Complex Mechanical Infrastructure using Expert Systems
source	ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 52-68
doi	https://doi.org/10.52842/conf.acadia.1985.052
summary	This paper presents a project under development at the University of Karlsruhe in which the author took part for two years. The aim of this project which was supported by the German Research Association (Deutsche Forschungsgemeinschaft) is to find better methods for the design of buildings having complex mechanical systems like laboratories, office buildings, schools, hospitals. etc. The design of the mechanical infrastructure in such buildings is as important as the design of other architectural or construction parts. The fundamental idea of the project is to consider design problems of the mechanical system as part of the design of the architectural and structural concepts of the entire building. This is based on the belief that the use of an expert system containing computer programs for the solution of design problems can support the whole design procedure and that the design of buildings having complex mechanical infrastructure can be qualitatively better and more efficient than the design with traditional methods.
series	ACADIA
last changed	2022/06/07 07:52

_id	244d
authors	Monedero, J., Casaus, A. and Coll, J.
year	1992
title	From Barcelona. Chronicle and Provisional Evaluation of a New Course on Architectural Solid Modelling by Computerized Means
source	CAAD Instruction: The New Teaching of an Architect? [eCAADe Conference Proceedings] Barcelona (Spain) 12-14 November 1992, pp. 351-362
doi	https://doi.org/10.52842/conf.ecaade.1992.351
summary	The first step made at the ETSAB in the computer field goes back to 1965, when professors Margarit and Buxade acquired an IBM computer, an electromechanical machine which used perforated cards and which was used to produce an innovative method of structural calculation. This method was incorporated in the academic courses and, at that time, this repeated question "should students learn programming?" was readily answered: the exercises required some knowledge of Fortran and every student needed this knowledge to do the exercises. This method, well known in Europe at that time, also provided a service for professional practice and marked the beginning of what is now the CC (Centro de Calculo) of our school. In 1980 the School bought a PDP1134, a computer which had 256 Kb of RAM, two disks of 5 Mb and one of lO Mb, and a multiplexor of 8 lines. Some time later the general politics of the UPC changed their course and this was related to the purchase of a VAX which is still the base of the CC and carries most of the administrative burden of the school. 1985 has probably been the first year in which we can talk of a general policy of the school directed towards computers. A report has been made that year, which includes an inquest adressed to the six Departments of the School (Graphic Expression, Projects, Structures, Construction, Composition and Urbanism) and that contains interesting data. According to the report, there were four departments which used computers in their current courses, while the two others (Projects and Composition) did not use them at all. The main user was the Department of Structures while the incidence of the remaining three was rather sporadic. The kind of problems detected in this report are very typical: lack of resources for hardware and software and for maintenance of the few computers that the school had at that moment; a demand (posed by the students) greatly exceeding the supply (computers and teachers). The main problem appeared to be the lack of computer graphic devices and proper software.
series	eCAADe
email
last changed	2022/06/07 07:58

_id	8d75
authors	Preparata, Franco P. and Shamos, Michael Ian
year	1985
title	Computational Geometry : An Introduction
source	xi, 390 p. : ill. NeW York: Springer-Verlag Pub. Co., 1985. includes bibliography: p. [366]- 376 and index. -- (text and monographs in Computer Science)
summary	A fundamental task of computational geometry is identifying concepts, properties and techniques which help efficient algorithmic implementations for geometric problems. The approach taken here is the presentations of algorithms and the evaluation of their worst case complexity. The particular problems addressed include geometric searching and retrieval, convex hull construction and related problems, proximity, intersection and the geometry of rectangles
keywords	geometry, algorithms, computational geometry, convex hull, analysis
series	CADline
last changed	2003/06/02 10:24

_id	a36a
authors	Rasdorf, William J.
year	1985
title	Perspectives on Knowledge in Engineering Design
source	Proceedings of the International Computers in Engineering Conference. Boston, MA: American Society of Mechanical Engineers, August, 1985. Vol. 2: pp. 249-253. CADLINE has abstract only
summary	Of all the contributions of artificial intelligence (AI), expert systems show some of the most significant promise for engineering applications. Expert systems provide a framework for acquiring, representing, and using knowledge about a particular application's domain. The role of knowledge in engineering design merits closer attention so that AI- oriented computer-aided engineering (CAE) systems can be developed and maintained systematically. Because 'knowledge' in engineering applications is loosely defined, it is necessary to identify knowledge types and the correlations between them before widespread engineering design applications can be achieved. The types of domain knowledge; facts, procedures, judgments, and control; differ from the classes of that knowledge; creative, innovative, and routine. Feasible tasks for expert systems can be determined based on these types and classes of knowledge. Interpretive tasks require reasoning about a task in light of the knowledge available, while generative tasks create potential solutions to be tested against constraints. Only after classifying the domain by type and level can the engineer select an appropriate knowledge-engineering tool for the domain being considered. The critical features to be weighed after problem classification are knowledge representation techniques, control strategies, interface requirements, compatibility with traditional systems, and economic considerations. After considering all of these factors in the selection of the expert system tool, the engineer can then proceed with the acquisition of knowledge and the construction and the use of the expert system
keywords	knowledge, AI, civil engineering, expert systems, CAE, representation
series	CADline
last changed	2003/06/02 13:58

_id	6686
authors	Straub, K.
year	1986
title	Problems in CAD Practice
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 232-234
summary	CAD's greatest promise is as a creative, interactive tool, and planning and construction will be more complex as the need to expand information grows. Our tools not only shape our products, they shape our lives. Technology can influence everyday life and also affect the structure of our society. Architecture is an information-intensive profession, and throughout the world information-intensive activities are being changed by technology. The use of computer-aided information processing in planning and construction brings about a period of dramatic change, and the dimensions of technological change will be breathtaking. In the years to come, CAD will be an expanding field in the architectural office, but how long will it be before architecture is routinely produced on a CAD system? There appear to be three issues: (1) cost; (2) time; (3) quality.
series	CAAD Futures
last changed	1999/04/03 17:58

_id	e8ec
authors	Weber, Benz
year	1991
title	LEARNING FROM THE FULL-SCALE LABORATORY
source	Proceedings of the 3rd European Full-Scale Modelling Conference / ISBN 91-7740044-5 / Lund (Sweden) 13-16 September 1990, pp. 12-19
summary	The team from the LEA at Lausanne was not actually involved in the construction of the laboratory itself. During the past five years we have been discovering the qualities and limitations of the lab step by step through the experiments we performed. The method in which we use it is quite different from that of its creators. Since 1985 the external services has been limited to clients coming to the laboratory alone. We help them only with basic instructions for the use of the equipment. Most of these experiments are motivated by the excellent possibilities to discuss the design of a new hospital or home for elderly with the people directly affected by it, such as patients, nurses, doctors and specialists for the technical equipment. The main issues discussed in these meetings are of the dimensions and functional organisation of the spaces. The entire process for a normal room including construction, discussions and dismantling of the full-scale model is between three and five days. Today these types of experiments are occupying the lab only about twenty days a year.
keywords	Full-scale Modeling, Model Simulation, Real Environments
series	other
type	normal paper
more	http://info.tuwien.ac.at/efa
last changed	2004/05/04 15:23

_id	avocaad_2001_16
id	avocaad_2001_16
authors	Yu-Ying Chang, Yu-Tung Liu, Chien-Hui Wong
year	2001
title	Some Phenomena of Spatial Characteristics of Cyberspace
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	"Space," which has long been an important concept in architecture (Bloomer & Moore, 1977; Mitchell, 1995, 1999), has attracted interest of researchers from various academic disciplines in recent years (Agnew, 1993; Benko & Strohmayer, 1996; Chang, 1999; Foucault, 1982; Gould, 1998). Researchers from disciplines such as anthropology, geography, sociology, philosophy, and linguistics regard it as the basis of the discussion of various theories in social sciences and humanities (Chen, 1999). On the other hand, since the invention of Internet, Internet users have been experiencing a new and magic "world." According to the definitions in traditional architecture theories, "space" is generated whenever people define a finite void by some physical elements (Zevi, 1985). However, although Internet is a virtual, immense, invisible and intangible world, navigating in it, we can still sense the very presence of ourselves and others in a wonderland. This sense could be testified by our naming of Internet as Cyberspace -- an exotic kind of space. Therefore, as people nowadays rely more and more on the Internet in their daily life, and as more and more architectural scholars and designers begin to invest their efforts in the design of virtual places online (e.g., Maher, 1999; Li & Maher, 2000), we cannot help but ask whether there are indeed sensible spaces in Internet. And if yes, these spaces exist in terms of what forms and created by what ways?To join the current interdisciplinary discussion on the issue of space, and to obtain new definition as well as insightful understanding of "space", this study explores the spatial phenomena in Internet. We hope that our findings would ultimately be also useful for contemporary architectural designers and scholars in their designs in the real world.As a preliminary exploration, the main objective of this study is to discover the elements involved in the creation/construction of Internet spaces and to examine the relationship between human participants and Internet spaces. In addition, this study also attempts to investigate whether participants from different academic disciplines define or experience Internet spaces in different ways, and to find what spatial elements of Internet they emphasize the most.In order to achieve a more comprehensive understanding of the spatial phenomena in Internet and to overcome the subjectivity of the members of the research team, the research design of this study was divided into two stages. At the first stage, we conducted literature review to study existing theories of space (which are based on observations and investigations of the physical world). At the second stage of this study, we recruited 8 Internet regular users to approach this topic from different point of views, and to see whether people with different academic training would define and experience Internet spaces differently.The results of this study reveal that the relationship between human participants and Internet spaces is different from that between human participants and physical spaces. In the physical world, physical elements of space must be established first; it then begins to be regarded as a place after interaction between/among human participants or interaction between human participants and the physical environment. In contrast, in Internet, a sense of place is first created through human interactions (or activities), Internet participants then begin to sense the existence of a space. Therefore, it seems that, among the many spatial elements of Internet we found, "interaction/reciprocity" Ñ either between/among human participants or between human participants and the computer interface Ð seems to be the most crucial element.In addition, another interesting result of this study is that verbal (linguistic) elements could provoke a sense of space in a degree higher than 2D visual representation and no less than 3D visual simulations. Nevertheless, verbal and 3D visual elements seem to work in different ways in terms of cognitive behaviors: Verbal elements provoke visual imagery and other sensory perceptions by "imagining" and then excite personal experiences of space; visual elements, on the other hand, provoke and excite visual experiences of space directly by "mapping".Finally, it was found that participants with different academic training did experience and define space differently. For example, when experiencing and analyzing Internet spaces, architecture designers, the creators of the physical world, emphasize the design of circulation and orientation, while participants with linguistics training focus more on subtle language usage. Visual designers tend to analyze the graphical elements of virtual spaces based on traditional painting theories; industrial designers, on the other hand, tend to treat these spaces as industrial products, emphasizing concept of user-center and the control of the computer interface.The findings of this study seem to add new information to our understanding of virtual space. It would be interesting for future studies to investigate how this information influences architectural designers in their real-world practices in this digital age. In addition, to obtain a fuller picture of Internet space, further research is needed to study the same issue by examining more Internet participants who have no formal linguistics and graphical training.
series	AVOCAAD
email
last changed	2005/09/09 10:48

_id	07c6
authors	Kalay, Y.E., Harfmann, A.C. and Swerdloff, L.M.
year	1985
title	ALEX: A Knowledge-Based Architectural Design System
source	ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 96-108
doi	https://doi.org/10.52842/conf.acadia.1985.096
summary	A methodology for the development of a knowledge-based computer-aided design system and its experimental application in the domain of single family house design are presented. The methodology involves integrating within a unified design environment, tools and techniques that have been independently developed in various disciplines (including knowledge representation, information management, geometric modeling, human,machine interface, and architectural design). By assuming the role of active design partners, the resulting systems are expected to increase the productivity of designers, improve the quality of their products, and reduce cost and lead time of the design process as a whole. ALEX (Architecture Learning Expert), a particular application of this methodology, is a prototype knowledge-based CAD system in the domain of single family house design. It employs user-interactive, goal directed heuristic search strategies in a solution space that consists of a network of objects. Message-based change propagation techniques, guided by domain-specific knowledge, are used to ensure database integrity and well-formedness. The significance of the methodology and its application is threefold: it furthers our knowledge of the architectural design process, explores the utilization of knowledge engineering methods in design, and serves as a prototype for developing the next generation of computer-aided architectural design systems.
series	ACADIA
email
last changed	2022/06/07 07:52

_id	6db4
authors	Karakatsanis, Andreas Georgiou
year	1985
title	Floder: A Floor Designer Expert System
source	Department of Civil Engineering, Carnegie Mellon University, Pittsburgh PA
summary	The use of computers in structural design for the last two decades has been limited to algorithmic and procedural tasks. The use of expert system environments facilitates the implementation of conceptual tasks in computer programs. The goal of this study is to develop an expert system for the structural design of floor framings. FLODER, the resulting expert system, generates, analyzes, and evaluates floor framings for a given architectural plan. Framing generation consists of determination of the locations of structural elements in the architectural plan. Analysis involves an approximation of the dimensions of the slabs. Evaluation numerically ranks all generated framings using heuristic features for the alternatives. FLODER is implemented in OPS5 and LISP. The primary representations used are OPS5 production rules for the knowledge-base, and OPS5 working memory elements, for the context. Tasks amenable to algorithmic approaches are implemented in LISP. FLODER, even in its present state, can be viewed as a useful assistant to a designer. It can rapidly generate and evaluate alternative framings for a given architectural plan and thus increase the work productivity of its users [includes bibliography].
keywords	Knowledge Base, Systems, Design, Architecture, Civil Engineering, Representation, Expert Systems, Floor Plans, Synthesis, Structures
series	CADline
last changed	1999/02/15 15:27

_id	6ed3
authors	Rasdorf, William J. and Storaasli, Olaf O.
year	1985
title	The Role of Computing in Engineering Education
source	Toward Expert Systems, Computers and Structures. Pergamon Press, July, 1985. vol. 20: pp. 11-15. Also published in: Advances and Trends in Structures and Dynamics edited by A. K. Noor and R. J. Hayduk
summary	Pergamon Press, 1985. --- Also Published in : Proceedings of the Symposium on Advances and Trends in Structures and Dynamics, Pergamon Press, George Washington University and the National Aeronautics and Space Administration, Washington, D.C. pp. 11-15, Oct.1984. The rapid advances occurring in interactive micro-computing and computer science have provided the engineer with a powerful means of processing, storing, retrieving, and displaying data. The effective use of computer technology in engineering processes and applications is recognized by many as the key to increased individual, company, and national productivity. The implications of this observation for the academic community are clear: we must prepare our students to use computer methods and applications as part of their fundamental education. The proper tradeoff between engineering fundamentals and computer science principles and practices is changing with many of the concepts of engineering now being packaged in algorithms or on computer chips. The components of an education should include operating system fundamentals, data structures, program control and organization, algorithms, and computer architectures. It is critically important for engineering students to receive an education that teaches them these fundamentals. This paper suggests that to convey the essentials of computer science to future engineers requires, in part, the addition of computer courses to the engineering curriculum. It also requires a strengthening of the computing content of many other courses so that students come to treat the computer as a fundamental component of their work. This is a major undertaking, but new engineers graduating with advanced computing knowledge will provide potentially significant future innovations in the engineering profession
keywords	CAE, education, civil engineering
series	CADline
last changed	2003/06/02 13:58

_id	66b3
authors	Bollinger, Elizabeth
year	1985
title	Integrating CADD into the AEC Process - A Case Study
source	ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 13-24
doi	https://doi.org/10.52842/conf.acadia.1985.013
summary	A research grant was awarded to the Graduate School of Architecture at the University of Houston by Nash Phillips/Copus, a large homebuilding corporation, to study the integration of computer aided design into the entire building process. A computer aided design system had been utilized by the firm's department of architecture and planning for several months. A team of University faculty and graduate students studied the organization of the firm with respect to functions that could be automated. Its determination was that by utilizing an integrated data base, with information to be extracted from the computer generated drawings, the entire process of bidding and building a structure could be made more efficient and cost effective. The research team developed a system in which cost estimating could be done directly from the drawings. As drawings were modified, new reports could be automatically generated. More design solutions could be studied from the impact of cost as well as aesthetics. Additionally, once plans were drawn, a program written by students would automatically generate elevations of wall panels to be sent to the construction department for its use, and which would also generate material reports. The team also studied techniques of computer modelling for usage by the architectural planning department in client presentations.
series	ACADIA
email
last changed	2022/06/07 07:54

_id	e115
authors	Pipes, Alan (Ed.)
year	1986
title	Computer-Aided Architectural Design Futures [Conference Proceedings]
source	International Conference on Computer-Aided Architectural Design / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, 245 p.
summary	Computer-Aided Architectural Design Futures was conceived late one evening in the bar of the Metropole Hotel in Brighton, UK. Those present - veterans of a hundred and one CAD conferences - were bemoaning the degree to which big business was taking over the conference scene: exhibiting was replacing conferring, selling was replacing thinking, products were replacing ideas. Wouldn't it be nice, we agreed, to get back to an 'academic' conference which would take stock of current developments in CAAD and attempt to anticipate the direction of future developments and their impact on architectural practice, on the building industry and on the quality of the built environment? Four major themes are explored in CAAD Futures: (1) Systematic design; (2) Drawing and visualization; (3) Artificial intelligence and knowledge engineering; (4) Implications for practice. // Stimulus papers on these four themes were circulated prior to the Conference, and the conference papers themselves elaborated the issues raised in the stimulus papers in such a way as to encourage discussion. The resulting book, we believe, will be a major reference text for students, researchers and practitioners.
series	CAAD Futures
last changed	1999/04/03 17:58

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