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	cbd0
authors	Brown, David C.
year	1985
title	Failure Handling in a Design Expert System
source	computer Aided Design. November, 1985. vol. 17: pp. 436-442 : ill. Includes bibliography
summary	This paper is concerned with how to handle the failures that occur during design problem-solving. Failure handlers and redesigners are introduced. Failure recovery action and the knowledge involved is presented for each agent. The role of suggestions and redesign strategies is discussed. The handling of plan failures is also presented. The paper concludes by surveying other methods of failure handling from the literature
keywords	expert systems, problem solving, mechanical engineering, planning,constraints, design, techniques
series	CADline
last changed	2003/06/02 13:58

_id	4f6f
authors	Kalay, Yehuda E.
year	1985
title	Knowledge-Based Computer-Aided Design to Assist Designers of Physical Artifacts
source	1985. [15] p. : ill. includes bibliography
summary	The objectives of this project are to increase the productivity of physical designers, and to improve the quality of designed artifacts and environments. The means for achieving these objectives include the development, implementation and verification of a broad-based methodology to be used for building context-sensitive computer-aided design systems to facilitate the design and fabrication of physical artifacts. Such systems will extend computer aides for design over the earliest phases of the design process and thus facilitate design-capture in addition to the common design-communication utilities they currently provide. They will thus constitute intelligent design assistants that will relieve the designer from the necessity to deal with some design details, as well as the need to explicitly manage the consistency of the design database. The project employs principles developed by Artificial Intelligence methods that are used in non-deterministic problem solving processes that represent data and knowledge in distributed networks. Principles such as object-centered data factorization and message-based change propagation techniques are implemented in an existing architectural computer-aided design system and field-tested in a practicing Architectural/Engineering office
keywords	CAD, knowledge base, design methods, design process, architecture
series	CADline
email
last changed	2003/06/02 13:58

_id	0e5e
authors	Kociolek, A.
year	1986
title	CAD in Polish Building
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 235-245
summary	There is little CAAD in Polish architectural design offices, and only recently have practising architects discovered the computer. On the other hand, CAAD has been used for some time in research and development based at universities or in large design organizations. This chapter gives a broad picture of the computerization of building design in Poland, a complex process which concerns planning and financing, hardware, software, CAD practice, standardization, training, education, etc. Here architectural applications are treated on an equal basis, together with other applications representing design disciplines involved in design, such as structural and mechanical engineering. The underlying philosophy of this chapter is a belief that proper and well-balanced computerization of design in building which leaves creative work to human beings should result in better design and eventually in improvements in the built environment. Therefore integration of the design process in building seems more important for design practice than attempts to replace an architect by a computer, although the intellectual attraction of this problem is recognized.
series	CAAD Futures
last changed	1999/04/03 17:58

_id	4494
authors	Maher, Mary Lou
year	1985
title	Hi-Rise and Beyond : Directions for Expert Systems in Design
source	Computer Aided Design. November, 1985. vol. 17: pp. 420-427 : ill. includes bibliography
summary	This paper commences with a brief introduction to expert systems and then describes the Hi-Rise expert system for structural design in terms of scope, problem solving strategy, knowledge representation and implementation. It then discusses the potential for developing an expert system capable of innovative design and describes the possibility of developing a generic expert system framework appropriate for any structural design problem
keywords	expert systems, civil engineering, structures, knowledge, representation, synthesis
series	CADline
email
last changed	2003/05/17 10:19

_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	02c6
authors	Wheeler, B.J.Q
year	1986
title	A Unified Model for Building
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 200-231
summary	It is commonly recognized that the time-honoured procedure for preparing an architectural design for building on site is inefficient. Each member of a team of consultant professionals makes an independently documented contribution. For a typical project involving an architect and structural, electrical, mechanical and public services engineers there will be at least five separate sets of general- arrangement drawings, each forming a model of the building, primarily illustrating one discipline but often having to include elements of others in order to make the drawing readable. For example, an air-conditioning duct-work layout is more easily understood when superimposed on the room layout it serves which the engineer is not responsible for but has to understand. Both during their parallel evolution and later, when changes have to be made during the detailed design and production drawing stages, it is difficult and time consuming to keep all versions coordinated. Complete coordination is rarely achieved in time, and conflicts between one discipline and another have to be rectified when encountered on site with resulting contractual implications. Add the interior designer, the landscape architect and other specialized consultants at one end of the list and contractors' shop drawings relating to the work of all the consultants at the other, and the number of different versions of the same thing grows, escalating the concomitant task of coordination. The potential for disputes over what is the current status of the design is enormous, first, amongst the consultants and second, between the consultants and the contractor. When amendments are made by one party, delay and confusion tend to follow during the period it takes the other parties to update their versions to include them. The idea of solving this problem by using a common computer-based model which all members of the project team can directly contribute to is surely a universally assumed goal amongst all those involved in computer-aided building production. The architect produces a root drawing or model, the 'Architect's base plan', to which the other consultants have read-only access and on top of which they can add their own write-protected files. Every time they access the model to write in the outcome of their work on the project they see the current version of the 'Architect's base plan' and can thus respond immediately to recent changes and avoid wasting time on redundant work. The architect meanwhile adds uniquely architectural material in his own overlaid files and maintains the root model as everybody's work requires. The traditional working pattern is maintained while all the participants have the ability to see their colleagues, work but only make changes to those parts for which they are responsible.
series	CAAD Futures
last changed	1999/04/03 17:58

_id	acfe
authors	Archea, John
year	1985
title	Architecture's Unique Position Among the Disciplines : Puzzle-Making vs. Problem Solving
source	CRIT XV, The Architectural Student Journal. Summer, 1985. pp. 20-22
summary	Most disciplines involved in the building process, i.e., programmers, space planners, and engineers work in what may be described as a problem solving mode. They state desired effects as explicit performance criteria before they initiate a decision process and test alternative solutions against those criteria until a fit is attained which falls within known probabilities of success. Architects, however are not problem solvers and they are not seeking explicit information when they design how buildings work. Architects are puzzle- makers, They are primarily concerned with unique design concepts. It is through the act of designing, or puzzle- making, that the architect learn what they want to accomplish and how. With regard to the making of buildings, places or experiences, the architect is a puzzle-maker surrounded by a group of problem solvers who address separate pieces of the puzzle
keywords	puzzle making, design process, problem solving, architecture
series	CADline
last changed	1999/02/12 15:07

_id	a217
authors	Bhatt, Rajesh V., Fisher, Edward L. and Rasdorf, William J.
year	1985
title	Information Retrieval Architectures For Expert System/DBMS Communication
source	Industrial Engineering Fall Conference Proceedings. December, 1985. pp. 315-320. CADLINE has abstract only
summary	The development of expert systems (ES) for manufacturing problems indicates a need to interact with potentially large amounts of data, much of which resides elsewhere in the ES user's organization. A large amount of information required for planning, design, and control operations can be made available through an existing database management system (DBMS). The need for an ES to access that data is critical. This paper presents two approaches to the development of ES- DBMS interfaces, both query-language based. One approach uses a procedural attachment to the ES language to obtain the required data via the DBMS query language, while the other one uses a separate interface program between the ES and the query language of the DBMS. The procedural attachment is able to acquire data from a DBMS at a faster rate than the interface program; however, the procedural attachment lacks knowledge of the DBMS schema. On the other hand, the interface program sacrifices speed but promotes flexibility, as it has the capability of selecting which DBMS to extract the required data from and allowing augmentation of schema knowledge outside of the ES. A disadvantage of the interface approach is the amount of time involved in data retrieval. The process of writing information to disk files is I/O intensive. This can be quite slow, particularly in PROLOG, the language used to implement the ES. Thus the use of such an interface is only suitable in applications such as design, where extremely fast I/O is not required
keywords	design, engineering, expert systems, information, database, DBMS
series	CADline
last changed	2003/06/02 10:24

_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	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	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	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	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	c547
authors	Fenves, Stephen J. and Rasdorf, William J.
year	1985
title	Treatment of Engineering Design Constraints in a Relational Database
source	Engineering with Computers. Springer-Verlag, Spring, 1985. vol. 1: pp. 27-37. includes bibliography
summary	A major aspect of engineering design is the formulation, application, evaluation, and satisfaction of design constraints. The ability to represent and process a wide variety of such constraints is a necessary ingredient of an engineering design database. This is especially true in databases integrating several design processes, where the database management system must serve as an active design agent performing many of the consistency and integrity checks that are currently done manually. This paper presents a mechanism for representing and processing engineering design constraints. The mechanism can be used for checking that constraints are satisfied as well as for deriving attribute values that satisfy the applicable constraints. Furthermore, the mechanism provides flexibility in sequencing the enforcement of constraints by allowing new constraints to be applied to a preexisting state of the database as well as to all subsequent operations on the database. In both these respects, the mechanism proposed appears to have applications beyond engineering design. The mechanism presented handles a broad class of single-relation, single-tuple constraints typical in engineering design applications. Instead of relying on normalization where possible, to remove functional dependencies, the mechanism incorporates new attributes that represent the status (satisfied or violated) of each constraint, thereby increasing the functional dependence of the relation. Consequently, passive constraint checking can be readily extended to active assignment of attribute values that automatically satisfy constraints. A prototype system implementing many of the components presented has been programmed in Pascal. In addition, portions of the system were implemented using the Relational Information Management (RIM) system, a commercially available DBMS
keywords	civil engineering, design, knowledge, relational database, CAE, constraints management
series	CADline
last changed	2003/06/02 13:58

_id	a864
authors	Love, James A.
year	1985
title	CAAD: The Interactive Effect in Technical Education
source	ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 1-12
doi	https://doi.org/10.52842/conf.acadia.1985.001
summary	The factors that determine the value of CAAD tools in technical education are investigated. Pedagogical theory on problem solving is reviewed, and its relationship to the design process as described by Mitchell is discussed. The goals of design practice and design education are compared. Consideration of the nature of the architectural design process and the impact of CAAD leads to the conclusion that cognitive skills, as defined by Gagne, are of increasing importance. Pre-CAAD approaches to technical instruction are discussed. The opportunities represented by CAAD in terms of more relevant, effective, and rewarding learning experiences are noted. Features that make CAAD tools effective for instruction are considered, and the need for specialized instructional software is pointed out. Additional benefits of CAAD usage, including greater effectiveness of instructional staff and substitution for laboratory hardware are noted.
series	ACADIA
email
last changed	2022/06/07 07:59

_id	020d
authors	Shaviv, Edna
year	1986
title	Layout Design Problems: Systematic Approaches
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 28-52
summary	The complexity of the layout design problems known as the 'spatial allocation problems' gave rise to several approaches, which can be generally classified into two main streams. The first attempts to use the computer to generate solutions of the building layout, while in the second, computers are used only to evaluate manually generated solutions. In both classes the generation or evaluation of the layout are performed systematically. Computer algorithms for 'spatial allocation problems' first appeared more than twenty-five years ago (Koopmans, 1957). From 1957 to 1970 over thirty different programs were developed for generating the floor plan layout automatically, as is summarized in CAP-Computer Architecture Program, Vol. 2 (Stewart et al., 1970). It seems that any architect who entered the area of CAAD felt that it was his responsibility to find a solution to this prime architectural problem. Most of the programs were developed for batch processing, and were run on a mainframe without any sophisticated input/output devices. It is interesting to mention that, because of the lack of these sophisticated input/output devices, early researchers used the approach of automatic generation of optimal or quasioptimal layout solution under given constraints. Gradually, we find a recession and slowdown in the development of computer programs for generation of layout solutions. With the improvement of interactive input/output devices and user interfaces, the inclination today is to develop integrated systems in which the architectural solution is obtained manually by the architect and is introduced to the computer for the appraisal of the designer's layout solution (Maver, 1977). The manmachine integrative systems could work well, but it seems that in most of the integrated systems today, and in the commercial ones in particular, there is no route to any appraisal technique of the layout problem. Without any evaluation techniques in commercial integrated systems it seems that the geometrical database exists Just to create working drawings and sometimes also perspectives.
series	CAAD Futures
email
last changed	2003/05/16 20:58

_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	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	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

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