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 0a6e
authors Walters, Roger
year 1986
title CAAD: Shorter-term Gains; Longerterm Costs?
source Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 185-196
summary Assessment of CAAD systems in use is complex: it needs careful qualifications and is often contradictory. It is suggested that little progress has been made in making sense of the impacts of computing on design and design organizations. Impacts are more diverse and complicated than has been assumed. Assessments tend to be either overtly optimistic or pessimistic, yet the need is to be realistic. Moreover, impacts have been the subject of speculation and marketing rather than systematic study. Carefully documented case studies of projects or longitudinal studies of organizational impacts remain the exception. This chapter draws upon recorded user experience reported elsewhere (Walters, 1983)' and presents an assessment of the performance in use of current production systems. It presents an end-user view and also identifies a number of outstanding design research topics It is suggested that different systems in different organizations in different settings will give rise to new impacts. A wide variety of outcomes is possible. It seems unlikely that any simple set of relationships can account for all the data that inquiry reveals. The task becomes one of identifying variables that lead to differential outcomes, as the same cause may lead to different effects (Attewell and Rule, 1984). This becomes a long-term task. Each optimistic impact may be countered by some other more pessimistic impact. Moreover, the changes brought about on design by computing are significant because both beneficial and non- beneficial impacts are present together. Impacts are held in a dynamic balance that is subject to constant evolution. This viewpoint accounts for otherwise conflicting conclusions. It is unlikely that the full range of impacts is yet known, and a wide range of impacts and outcomes already need to be taken into account. It seems that CAD alone cannot either guarantee improved design or that it inevitably leads to some diminished role for the designer. CAD can lead to either possible outcome, depending upon the particular combination of impacts present. Careful matching of systems to design organization and work environment is therefore needed. The design management role becomes crucial.
series CAAD Futures
last changed 1999/04/03 17:58

_id 6916
authors Gasparski, W.
year 1986
title Design Methodology: How I Understand and Develop it
source Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 16-27
summary The term 'methodology' is sometimes given two diametrically opposed meanings, well characterized by Mark Blaug in the preface of a very informative book devoted to the methodology of economics. This is also the case with the methodology of design. One can find studies in which 'the methodology of design' is simply a method or methods of design, given a fancy name to make it or them appear more scientific. Authors of such studies should not confuse their readers by taking methodological studies to mean technicalities of design or demanding that their interpretation and assessment of so-called 'practical applicability' should follow this criterion. The methodology of design - as we understand it has parallels in the methodology of Blaug's economics, the philosophy of practical science, the applied sciences or the sciences of artificial objects or artefacts. Understood this way, the methodology of design is neither the method of practising design nor an instruction for its use but a theoretical reflection - in the meaning given to methodology by the philosophy of science - of design. In this connection a study of the methodology of design should be provided with the subtitle, 'How researchers of practical sciences and designers understand the concept of changes'.
series CAAD Futures
last changed 1999/04/03 17:58

_id 82ab
authors Wrona, Stefan K.
year 1986
title The Profits of CAAD Can Be Increased by an Integrated Participatory Design Approach
source Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 53-57
summary Computer-aided Architectural Design is understood in Poland as comprising all computer applications in an architectural design office. In Polish architectural practice (with a few exceptions) it is still under theoretical consideration and in an experimental phase. Therefore if we are talking about the future of CAAD in Poland we are thinking about a much more long-term future than for Western countries. However, if new economic and organizational changes initiated in Poland in the early 1980s continue, future problems and solutions in CAAD will, for us, become similar to those in Western countries.
series CAAD Futures
email
last changed 2003/05/16 20:58

_id 644f
authors Bijl, Aart
year 1986
title Designing with Words and Pictures in a Logic Modelling Environment
source Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 128-145
summary At EdCAAD we are interested in design as something people do. Designed artefacts, the products of designing, are interesting only in so far as they tell us something about design. An extreme expression of this position is to say that the world of design is the thoughts in the heads of designers, plus the skills of designers in externalizing their thoughts; design artifacts, once perceived and accepted in the worlds of other people, are no longer part of the world of design. We can describe design, briefly, as a process of synthesis. Design has to achieve a fusion between parts to create new parts, so that the products are recognized, as having a right and proper place in the world of people. Parts should be understood as referring to anything - physical objects, abstract ideas, aspirations. These parts occur in some design environment from which parts are extracted, designed upon and results replaced; in the example of buildings, the environment is people and results have to be judged by reference to that environment. It is characteristic of design that both the process and the product are not subject to explicit and complete criteria. This view of design differs sharply from the more orthodox understanding of scientific and technological endeavours which rely predominantly on a process of analysis. In the latter case, the approach is to decompose a problem into parts until individual parts are recognized as being amenable to known operations and results are reassembled into a solution. This process has a peripheral role in design when evaluating selected aspects of tentative design proposals, but the absence of well-defined and widely recognized criteria for design excludes it from the main stream of analytical developments.
series CAAD Futures
last changed 2003/11/21 15:16

_id c898
authors Gero, John S.
year 1986
title An Overview of Knowledge Engineering and its Relevance to CAAD
source Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 107-119
summary Computer-aided architectural design (CAAD) has come to mean a number of often disparate activities. These can be placed into one of two categories: using the computer as a drafting and, to a lesser extent, modelling system; and using it as a design medium. The distinction between the two categories is often blurred. Using the computer as a drafting and modelling tool relies on computing notions concerned with representing objects and structures numerically and with ideas of computer programs as procedural algorithms. Similar notions underly the use of computers as a design medium. We shall return to these later. Clearly, all computer programs contain knowledge, whether methodological knowledge about processes or knowledge about structural relationships in models or databases. However, this knowledge is so intertwined with the procedural representation within the program that it can no longer be seen or found. Architecture is concerned with much more than numerical descriptions of buildings. It is concerned with concepts, ideas, judgement and experience. All these appear to be outside the realm of traditional computing. Yet architects discoursing use models of buildings largely unrelated to either numerical descriptions or procedural representations. They make use of knowledge - about objects, events and processes - and make nonprocedural (declarative) statements that can only be described symbolically. The limits of traditional computing are the limits of traditional computer-aided design systems, namely, that it is unable directly to represent and manipulate declarative, nonalgorithmic, knowledge or to perform symbolic reasoning. Developments in artificial intelligence have opened up ways of increasing the applicability of computers by acquiring and representing knowledge in computable forms. These approaches supplement rather than supplant existing uses of computers. They begin to allow the explicit representations of human knowledge. The remainder of this chapter provides a brief introduction to this field and describes, through applications, its relevance to computer- aided architectural design.
series CAAD Futures
email
last changed 2003/05/16 20:58

_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 ddssar0206
id ddssar0206
authors Bax, M.F.Th. and Trum, H.M.G.J.
year 2002
title Faculties of Architecture
source Timmermans, Harry (Ed.), Sixth Design and Decision Support Systems in Architecture and Urban Planning - Part one: Architecture Proceedings Avegoor, the Netherlands), 2002
summary In order to be inscribed in the European Architect’s register the study program leading to the diploma ‘Architect’ has to meet the criteria of the EC Architect’s Directive (1985). The criteria are enumerated in 11 principles of Article 3 of the Directive. The Advisory Committee, established by the European Council got the task to examine such diplomas in the case some doubts are raised by other Member States. To carry out this task a matrix was designed, as an independent interpreting framework that mediates between the principles of Article 3 and the actual study program of a faculty. Such a tool was needed because of inconsistencies in the list of principles, differences between linguistic versions ofthe Directive, and quantification problems with time, devoted to the principles in the study programs. The core of the matrix, its headings, is a categorisation of the principles on a higher level of abstractionin the form of a taxonomy of domains and corresponding concepts. Filling in the matrix means that each study element of the study programs is analysed according to their content in terms of domains; thesummation of study time devoted to the various domains results in a so-called ‘profile of a faculty’. Judgement of that profile takes place by committee of peers. The domains of the taxonomy are intrinsically the same as the concepts and categories, needed for the description of an architectural design object: the faculties of architecture. This correspondence relates the taxonomy to the field of design theory and philosophy. The taxonomy is an application of Domain theory. This theory,developed by the authors since 1977, takes as a view that the architectural object only can be described fully as an integration of all types of domains. The theory supports the idea of a participatory andinterdisciplinary approach to design, which proved to be awarding both from a scientific and a social point of view. All types of domains have in common that they are measured in three dimensions: form, function and process, connecting the material aspects of the object with its social and proceduralaspects. In the taxonomy the function dimension is emphasised. It will be argued in the paper that the taxonomy is a categorisation following the pragmatistic philosophy of Charles Sanders Peirce. It will bedemonstrated as well that the taxonomy is easy to handle by giving examples of its application in various countries in the last 5 years. The taxonomy proved to be an adequate tool for judgement ofstudy programs and their subsequent improvement, as constituted by the faculties of a Faculty of Architecture. The matrix is described as the result of theoretical reflection and practical application of a matrix, already in use since 1995. The major improvement of the matrix is its direct connection with Peirce’s universal categories and the self-explanatory character of its structure. The connection with Peirce’s categories gave the matrix a more universal character, which enables application in other fieldswhere the term ‘architecture’ is used as a metaphor for artefacts.
series DDSS
last changed 2003/11/21 15:16

_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 448d
authors Schmitt, Gerhard N.
year 1985
title Architectural Expert Systems: Definition, Application Areas and Practical Examples
doi https://doi.org/10.52842/conf.acadia.1985.043
source ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 43-51
summary Knowledge Based Expert Systems (KBES) have emerged as a new tool for decision making in scientific disciplines. From the definition of the term and from previous experiences in geology, computer science, engineering, and medicine, it seems that they could develop into an important tool for architectural design and the building industry. This paper gives a very general overview over existing expert systems and potential application areas in architecture. It then presents in more detail two of the prototype systems that are under development in the Department of Architecture at Carnegie - Mellon University to gain practical experience.

series ACADIA
email
last changed 2022/06/07 07:57

_id 678e
authors Aish, Robert
year 1986
title Three-dimensional Input and Visualization
source Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 68-84
summary The aim of this chapter is to investigate techniques by which man-computer interaction could be improved, specifically in the context of architectural applications of CAD. In this application the object being designed is often an assembly of defined components. Even if the building is not actually fabricated from such components, it is usually conceptualized in these terms. In a conventional graphics- based CAD system these components are usually represented by graphical icons which are displayed on the graphics screen and arranged by the user. The system described here consists of three- dimensional modelling elements which the user physically assembles to form his design. Unlike conventional architectural models which are static (i.e. cannot be changed by the users) and passive (i.e. cannot be read by a CAD system), this model is both 'user generated' and 'machine readable'. The user can create, edit and view the model by simple, natural modelling activities and without the need to learn complex operating commands often associated with CAD systems. In particular, the user can view the model, altering his viewpoint and focus of attention in a completely natural way. Conventional computer graphics within an associated CAD system are used to represent the detailed geometry which the different three-dimensional icons may represent. In addition, computer graphics are also used to present the output of the performance attributes of the objects being modelled. In the architectural application described in this chapter an energy- balance evaluation is displayed for a building designed using the modelling device. While this system is not intended to offer a completely free-form input facility it can be considered to be a specialist man-machine interface of particular relevance to architects or engineers.
series CAAD Futures
email
last changed 2003/11/21 15:15

_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 c211
authors Brown, A.G.P.
year 1986
title A Year's Experience with CATIA and CADAM
doi https://doi.org/10.52842/conf.ecaade.1986.007
source Teaching and Research Experience with CAAD [4th eCAADe Conference Proceedings] Rome (Italy) 11-13 September 1986, pp. 7-16
summary In June 1985 Liverpool University obtained the CAD packages CATIA and CADAM to run on its IBM 4341 mainframe. The following is a brief description of the investigations which have taken place in the first year of their implementation to gauge the usefulness of these packages, principalLy as CAAD teaching aids. Neither CATIA nor CADAM were initially developed as architectural design aids so a matter of initial concern was their appropriateness for teaching (and possibly research) in an architectural environment.
series eCAADe
email
last changed 2022/06/07 07:54

_id 63d0
authors Carrara, Gianfranco and Novembri, Gabriele
year 1986
title Constraint-bounded design search
source Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 146-157
summary The design process requires continual checking of the consistency of design choices against given sets of goals that have been fulfilled. Such a check is generally performed by comparing abstract representations of design goals with these of the sought real building objects (RBO) resulting from complex intellectual activities closely related to the designer's culture and to the environment in which he operates. In this chapter we define a possible formalization of such representations concerning the goals and the RBO that are usually considered in the architectural design process by our culture in our environment. The representation of design goals is performed by expressing their objective aspects (requirements) and by defining their allowable values (performance specifications). The resulting system of requirements defines the set of allowable solutions and infers an abstract representation of the sought building objects (BO) that consists of the set of characteristics (attributes and relations) which are considered relevant to represent the particular kind of RBO with respect to the consistency check with design goals. The values related to such characteristics define the performances of the RBO while their set establishes its behaviour. Generally speaking, there is no single real object corresponding to an abstract representation but the whole class of the RBO that are equivalent with respect to the values assumed by the considered characteristics. The more we increase the number of these, as well as their specifications, the smaller the class becomes until it coincides with a single real object - given that the assessed specifications be fully consistent. On the other hand, the corresponding representation evolves to the total prefiguration of the RBO. It is not therefore possible to completely define a BO representation in advance since this is inferred by the considered goals and is itself a result of the design process. What can only be established in advance is that any set of characteristics assumed to represent any RBO consists of hierarchic, topological, geometrical and functional relations among the parts of the object at any level of aggregation (from components to space units, to building units, to the whole building) that we define representation structure (RS). Consequently the RS may be thought as the elementary structures that, by superposition and interaction, set up the abstract representation that best fit with design goals.
series CAAD Futures
last changed 1999/04/03 17:58

_id cf2015_005
id cf2015_005
authors Celani, Gabriela; Sperling, David M. and Franco, Juarez M. S. (eds.)
year 2015
title Preface
source The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 5-13.
summary Since 1985 the Computer-Aided Architectural Design Futures Foundation has fostered high level discussions about the search for excellence in the built environment through the use of new technologies with an exploratory and critical perspective. In 2015, the 16th CAAD Futures Conference was held, for the first time, in South America, in the lively megalopolis of Sao Paulo, Brazil. In order to establish a connection to local issues, the theme of the conference was "The next city". The city of Sao Paulo was torn down and almost completely rebuilt twice, from the mid 1800s to the mid 1900s, evolving from a city built in rammed-earth to a city built in bricks and then from a city built in bricks to a city built in concrete. In the 21st century, with the widespread use of digital technologies both in the design and production of buildings, cities are changing even faster, in terms of layout, materials, shapes, textures, production methods and, above all, in terms of the information that is now embedded in built systems.Among the 200 abstracts received in the first phase, 64 were selected for presentation in the conference and publication in the Electronic Proceedings, either as long or short papers, after 3 tough evaluation stages. Each paper was reviewed by at least three different experts from an international committee of more than 80 highly experienced researchers. The authors come from 23 different countries. Among all papers, 10 come from Latin-American institutions, which have been usually under-represented in CAAD Futures. The 33 highest rated long papers are also being published in a printed book by Springer. For this reason, only their abstracts were included in this Electronic Proceedings, at the end of each chapter.The papers in this book have been organized under the following topics: (1) modeling, analyzing and simulating the city, (2) sustainability and performance of the built environment, (3) automated and parametric design, (4) building information modeling (BIM), (5) fabrication and materiality, and (6) shape studies. The first topic includes papers describing different uses of computation applied to the study of the urban environment. The second one represents one of the most important current issues in the study and design of the built environment. The third topic, automated and parametric design, is an established field of research that is finally becoming more available to practitioners. Fabrication has been a hot topic in CAAD conferences, and is becoming ever more popular. This new way of making design and buildings will soon start affecting the way cities look like. Finally, shape studies are an established and respected field in design computing that is traditionally discussed in CAAD conferences.
series CAAD Futures
email
last changed 2015/06/29 07:55

_id ascaad2006_paper20
id ascaad2006_paper20
authors Chougui, Ali
year 2006
title The Digital Design Process: reflections on architectural design positions on complexity and CAAD
source Computing in Architecture / Re-Thinking the Discourse: The Second International Conference of the Arab Society for Computer Aided Architectural Design (ASCAAD 2006), 25-27 April 2006, Sharjah, United Arab Emirates
summary These instructions are intended to guide contributors to the Second Architecture is presently engaged in an impatient search for solutions to critical questions about the nature and the identity of the discipline, and digital technology is a key agent for prevailing innovations in architectural design. The problem of complexity underlies all design problems. With the advent of CAD however, Architect’s ability to truly represent complexity has increased considerably. Another source that provides information about dealing with complexity is architectural theory. As Rowe (1987) states, architectural theory constitutes “a corpus of principles that are agreed upon and therefore worthy of emulation”. Architectural theory often is a mixed reflection on the nature of architectural design, design processes, made in descriptive and prescriptive terms (see Kruft 1985). Complexity is obviously not a new issue in architectural theory. Since it is an inherent characteristic of design problems, it has been dealt with in many different ways throughout history. Contemporary architects incorporate the computer in their design process. They produce architecture that is generated by the use of particle systems, simulation software, animation software, but also the more standard modelling tools. The architects reflect on the impact of the computer in their theories, and display changes in style by using information modelling techniques that have become versatile enough to encompass the complexity of information in the architectural design process. In this way, architectural style and theory can provide directions to further develop CAD. Most notable is the acceptance of complexity as a given fact, not as a phenomenon to oppose in systems of organization, but as a structuring principle to begin with. No matter what information modelling paradigm is used, complex and huge amounts of information need to be processed by designers. A key aspect in the combination of CAD, complexity, and architectural design is the role of the design representation. The way the design is presented and perceived during the design process is instrumental to understanding the design task. More architects are trying to reformulate this working of the representation. The intention of this paper is to present and discuss the current state of the art in architectural design positions on complexity and CAAD, and to reflect in particular on the role of digital design representations in this discussion. We also try to investigate how complexity can be dealt with, by looking at architects, in particular their styles and theories. The way architects use digital media and graphic representations can be informative how units of information can be formed and used in the design process. A case study is a concrete architect’s design processes such as Peter Eisenman Rem Koolhaas, van Berkel, Lynn, and Franke gehry, who embrace complexity and make it a focus point in their design, Rather than viewing it as problematic issue, by using computer as an indispensable instrument in their approaches.
series ASCAAD
email
last changed 2007/04/08 19:47

_id 298e
authors Dave, Bharat and Woodbury, Robert
year 1990
title Computer Modeling: A First Course in Design Computing
source The Electronic Design Studio: Architectural Knowledge and Media in the Computer Era [CAAD Futures ‘89 Conference Proceedings / ISBN 0-262-13254-0] Cambridge (Massachusetts / USA), 1989, pp. 61-76
summary Computation in design has long been a focus in our department. In recent years our faculty has paid particular attention to the use of computation in professional architectural education. The result is a shared vision of computers in the curriculum [Woodbury 1985] and a set of courses, some with considerable historyland others just now being initiated. We (Dave and Woodbury) have jointly developed and at various times over the last seven years have taught Computer Modeling, the most introductory of these courses. This is a required course for all the incoming freshmen students in the department. In this paper we describe Computer Modeling: its context, the issues and topics it addresses, the tasks it requires of students, and the questions and opportunities that it raises. Computer Modeling is a course about concepts, about ways of explicitly understanding design and its relation to computation. Procedural skills and algorithmic problem solving techniques are given only secondary emphasis. In essential terms, the course is about models, of design processes, of designed objects, of computation and of computational design. Its lessons are intended to communicate a structure of such models to students and through this structure to demonstrate a relationship between computation and design. It is hoped that this structure can be used as a framework, around which students can continue to develop an understanding of computers in design.
series CAAD Futures
email
last changed 2003/05/16 20:58

_id cf2007_000
id cf2007_000
authors Dong, Andy; Andrew vande Moere and John S. Gero (eds.)
year 2007
title Computer Aided Architectural Design Futures 2007
source Proceedings of the 12th International Conference [ISBN 978-1-4020-6527-9] Sydney 11-13 July 2007, 602 p.
summary CAAD Futures is a biennial Conference that aims to promote the advancement of Computer Aided Architectural Design in the service of those concerned with the quality of the built environment. The conferences are organised under the auspices of the CAAD Futures Foundation. The series of conferences started in 1985 in Delft, and has since travelled to Eindhoven, Boston, Zurich, Pittsburgh, Singapore, Munich, Atlanta, Tainan and Vienna. The book contains papers selected from the 11th CAAD Futures conference which took place at the University of Sydney. The papers in this book cover a wide range of subjects and provide an excellent overview of the state-of-the-art in research on Computer Aided Architectural Design.
series CAAD Futures
email
last changed 2007/07/06 12:47

_id 68aa
authors Greenberg, Donald P.
year 1986
title Computer Graphics and Visualization
source Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 63-67
summary The field of computer graphics has made enormous progress during the past decade. It is rapidly approaching the time when we will be able to create images of such realism that it will be possible to 'walk through' nonexistent spaces and to evaluate their aesthetic quality based on the simulations. In this chapter we wish to document the historical development of computer graphics image creation and describe some techniques which are currently being developed. We will try to explain some pilot projects that we are just beginning to undertake at the Program of Computer Graphics and the Center for Theory and Simulation in Science and Engineering at Cornell University.
series CAAD Futures
last changed 1999/04/03 17:58

_id e799
authors Howes, Jaki
year 1986
title Computer Education in Schools of Architecture and the Needs of Practice
doi https://doi.org/10.52842/conf.ecaade.1986.045
source Teaching and Research Experience with CAAD [4th eCAADe Conference Proceedings] Rome (Italy) 11-13 September 1986, pp. 45-48
summary In April 1985 there was a meeting (at Huddersfield Polytechnic) or representatives from 26 Schools of Architecture. At this, concern was expressed about the lack of direction from the RIBA with regard to the appropriate level of computer teaching on architectural courses. In addition, it was felt that it was essential that at least one member of a Visiting Board panel should be computer literate and in a position to give advice. These points were raised at the RIBA Computer Committee later in 1985, and the committee's attention was also drawn to comments contained in the report by HM Inspector on Public Sector Education in Architecture (1985) based on investigations made during 1984.
series eCAADe
email
last changed 2022/06/07 07:50

_id 2a4f
authors Jordani, David A.
year 1985
title The Management of CADD Systems in the AEC Office
source 1985. [17] p
summary A well known A/E firm purchased a CAAD system two years ago. They report great success and satisfaction. Their staff is enthused and more importantly so are their clients. Other firms watched them, and after six months one of their competitors purchased the identical CADD system. But that's where the similarities end. At the second firm, the system is under-utilized, management and staff appear to regret their decision and there has been little impact on the firm's work, its profitability and its clients. Identical systems installed in very similar firms with totally different results. What's the difference? MANAGEMENT...Even with the brief history of CADD in the AEC office we can see that the success or failure of CADD system implementation is more likely traced to the effectiveness of management than accuracy of system selection. The information conveyed in this paper is directed at new and experienced planners and managers of turnkey CADD systems in AEC or facilities management environments. With a focus on real solutions to real problems, it addresses some of the critical issues that will help you successfully plan and implements your own CADD system
keywords practice, management, architecture, CAD, integration, systems
series CADline
last changed 2003/06/02 13:58

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