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

_id	e1a8
authors	Kellogg, Richard E.
year	1985
title	CAD-Spreadsheet Linkages for Design and Analysis
source	ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 109-118
doi	https://doi.org/10.52842/conf.acadia.1985.109
summary	This paper reports on two systems under development which link a CAD system with a spreadsheet. The first extracts areas and R-values from a special AutoCAD drawing and processes the information in a Lotus 1-2-3 spreadsheet to obtain total heatloss for a building. The second is a prototype expert system which uses space labels from an AutoCAD "bubble-diagram" to print lists of design recommendations extracted from a Lotus 1-2-3 data-base. These methods emphasize drawing as the primary design activity, while providing immediate factual feedback about the design proposal.
series	ACADIA
email
last changed	2022/06/07 07:52

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

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

_id	0e0a
authors	Kalay, Yehuda E., Harfmann, Anton C. and Swerdloff, Lucien M.
year	1985
title	An Expert System Approach to Computer-Aided Participatory Architectural Design
source	February, 1985. 16 p. : ill. includes bibliography
summary	Increased satisfaction of the built environment can be achieved by more effective communication between the people who use that environment and the designers who form it. Participatory design is a method which educates and involves the users in the actual design process so that such a communication becomes possible. Methods that have so far been developed for participatory design have proven to be too limited, due mainly to the large time demands they place on architects. An effective participatory design method can be achieved by the use of a knowledge-based expert system which is capable of providing an educational design experience to the user. The development and implementation of such a system, specifically for the design of single family homes, is the focus of this paper
keywords	expert systems, CAD, architecture, design process
series	CADline
email
last changed	2003/06/02 13:58

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

_id	687b
authors	Lansdown, John
year	1986
title	Requirements for Knowledge-based Systems in Design
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 120-127
summary	Even from the comparatively small amount of work that has been done in this area it is already clear that expert systems can be of value in many architectural applications. This is particularly so in those applications involving what broadly can be called, 'classification' (such as fault diagnosis, testing for conformity with regulations and so on). What we want to look at in this chapter are some of the developments in knowledge-based systems (KBS) which will be needed in order to make them more useful in a broader application area and, especially, in creative design. At the heart of these developments will be two things: (1), more appropriate methods of representing knowledge which are as accessible to humans as they are to computers; and (2), better ways of ensuring that this knowledge can be brought to bear exactly where and when it is needed. Knowledge engineers usually call these elements, respectively, 'knowledge representation' and 'control'.
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	a127
authors	Rasdorf, William J. and Salley, George C.
year	1985
title	Generative Engineering Databases - Toward Expert Systems
source	Computers and Structures. Pergamon Press, 1985. vol. 22: pp. 11-15
summary	CADLINE has abstract only. Engineering data management, incorporating concepts of optimization with data representation, is receiving increasing attention. Research in this area promises advantages for many engineering applications, particularly those which use data innovatively. This paper presents a framework for a comprehensive, relational database management system that combines a knowledge base (KB) of design constraints with a database (DB) of engineering data items to achieve a 'generative database' - one which automatically generates new engineering design data according to the design constraints stored in the knowledge base. Thus, in addition to the designer and engineering design and analysis application programs, the database itself contributes to the design process. The KB/DB framework proposed here requires a database that is able to store all of the data normally associated with engineering design and to accurately represent the interactions between constraints and the stored data while guaranteeing its integrity. The framework also requires a knowledge base that is able to store all the constraints imposed upon the engineering design process. The goal sought is a central integrated repository of data, supporting interfaces to a wide variety of application programs and supporting processing capabilities for maintaining integrity while generating new data. The resulting system permits the unaided generation of constrained data values, thereby serving as an active design assistant. This paper suggests this new conceptual framework as a means of improving engineering data representation, generation, use, and management
keywords	management, optimization, synthesis, database, expert systems, civil engineering
series	CADline
last changed	2003/06/02 10:24

_id	8307
authors	Rehak, Daniel R. and Howard, Craig H.
year	1985
title	Interfacing Expert Systems with Design Databases in Integrated CAD Systems
source	Computer Aided Design. November, 1985. vol. 17: pp. 443-454 : ill. includes bibliography
summary	A model of a distributed network DBMS, using knowledge-base programming techniques, for interfacing KBS-to-DBMS is presented. In this model, the description of the data model of each KBS and DBMS component of the CAD system is represented as knowledge describing the components, making the components independent of each other. KADBASE, a prototype of such a flexible interface is demonstrating an approach to developing an integrated, distributed CAD system containing a variety of heterogeneous expert systems and design databases
keywords	expert systems, design, database, user interface, integration, CAD
series	CADline
last changed	2003/06/02 13:58

_id	448d
authors	Schmitt, Gerhard N.
year	1985
title	Architectural Expert Systems: Definition, Application Areas and Practical Examples
source	ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 43-51
doi	https://doi.org/10.52842/conf.acadia.1985.043
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	avocaad_2001_02
id	avocaad_2001_02
authors	Cheng-Yuan Lin, Yu-Tung Liu
year	2001
title	A digital Procedure of Building Construction: A practical project
source	AVOCAAD - ADDED VALUE OF COMPUTER AIDED ARCHITECTURAL DESIGN, Nys Koenraad, Provoost Tom, Verbeke Johan, Verleye Johan (Eds.), (2001) Hogeschool voor Wetenschap en Kunst - Departement Architectuur Sint-Lucas, Campus Brussel, ISBN 80-76101-05-1
summary	In earlier times in which computers have not yet been developed well, there has been some researches regarding representation using conventional media (Gombrich, 1960; Arnheim, 1970). For ancient architects, the design process was described abstractly by text (Hewitt, 1985; Cable, 1983); the process evolved from unselfconscious to conscious ways (Alexander, 1964). Till the appearance of 2D drawings, these drawings could only express abstract visual thinking and visually conceptualized vocabulary (Goldschmidt, 1999). Then with the massive use of physical models in the Renaissance, the form and space of architecture was given better precision (Millon, 1994). Researches continued their attempts to identify the nature of different design tools (Eastman and Fereshe, 1994). Simon (1981) figured out that human increasingly relies on other specialists, computational agents, and materials referred to augment their cognitive abilities. This discourse was verified by recent research on conception of design and the expression using digital technologies (McCullough, 1996; Perez-Gomez and Pelletier, 1997). While other design tools did not change as much as representation (Panofsky, 1991; Koch, 1997), the involvement of computers in conventional architecture design arouses a new design thinking of digital architecture (Liu, 1996; Krawczyk, 1997; Murray, 1997; Wertheim, 1999). The notion of the link between ideas and media is emphasized throughout various fields, such as architectural education (Radford, 2000), Internet, and restoration of historical architecture (Potier et al., 2000). Information technology is also an important tool for civil engineering projects (Choi and Ibbs, 1989). Compared with conventional design media, computers avoid some errors in the process (Zaera, 1997). However, most of the application of computers to construction is restricted to simulations in building process (Halpin, 1990). It is worth studying how to employ computer technology meaningfully to bring significant changes to concept stage during the process of building construction (Madazo, 2000; Dave, 2000) and communication (Haymaker, 2000).In architectural design, concept design was achieved through drawings and models (Mitchell, 1997), while the working drawings and even shop drawings were brewed and communicated through drawings only. However, the most effective method of shaping building elements is to build models by computer (Madrazo, 1999). With the trend of 3D visualization (Johnson and Clayton, 1998) and the difference of designing between the physical environment and virtual environment (Maher et al. 2000), we intend to study the possibilities of using digital models, in addition to drawings, as a critical media in the conceptual stage of building construction process in the near future (just as the critical role that physical models played in early design process in the Renaissance). This research is combined with two practical building projects, following the progress of construction by using digital models and animations to simulate the structural layouts of the projects. We also tried to solve the complicated and even conflicting problems in the detail and piping design process through an easily accessible and precise interface. An attempt was made to delineate the hierarchy of the elements in a single structural and constructional system, and the corresponding relations among the systems. Since building construction is often complicated and even conflicting, precision needed to complete the projects can not be based merely on 2D drawings with some imagination. The purpose of this paper is to describe all the related elements according to precision and correctness, to discuss every possibility of different thinking in design of electric-mechanical engineering, to receive feedback from the construction projects in the real world, and to compare the digital models with conventional drawings.Through the application of this research, the subtle relations between the conventional drawings and digital models can be used in the area of building construction. Moreover, a theoretical model and standard process is proposed by using conventional drawings, digital models and physical buildings. By introducing the intervention of digital media in design process of working drawings and shop drawings, there is an opportune chance to use the digital media as a prominent design tool. This study extends the use of digital model and animation from design process to construction process. However, the entire construction process involves various details and exceptions, which are not discussed in this paper. These limitations should be explored in future studies.
series	AVOCAAD
email
last changed	2005/09/09 10:48

_id	23bc
authors	Demko, Stephen, Hodges, Laurie and Naylor, Bruce F.
year	1985
title	Construction of Fractal Objects with Iterated Function Systems
source	SIGGRAPH '85 Conference Proceedings. July, 1985. vol. 19 ; no. 3: pp. 271-278 : ill. col. includes bibliography
summary	In computer graphics, geometric modeling of complex objects is a difficult process. An important class of complex objects arise from natural phenomena: trees, plants, clouds, mountains, etc. Researchers are investigating a variety of techniques for extending modeling capabilities to include these as well as other classes. One mathematical concept that appears to have significant potential for this is fractals. Much interest currently exists in the general scientific community in using fractals as a model of complex natural phenomena. However, only a few methods for generating fractal sets are known. We have been involved in the development of a new approach to computing fractals. Any set of linear maps (affine transformations) and an associated set of probabilities determines an Iterated Function System (IFS). Each IFS has a unique 'attractor' which is typically a fractal set (object). Specification of only a few maps can produce very complicated objects. Design of fractal objects is made relatively simple and intuitive by the discovery of an important mathematical property relating the fractal sets to the IFS. The method also provides the possibility of solving the inverse problem, given the geometry of an object, determine an IFS that will (approximately) generate that geometry. This paper presents the application of the theory of IFS to geometric modeling
keywords	computer graphics, geometric modeling, fractals, visualization
series	CADline
last changed	2003/06/02 13:58

_id	0533
authors	Clemons, Eric K. and Greenfield, Arnold J.
year	1985
title	The SAGE System Architecture: A System for the Rapid Development of Graphics Interfaces for Decision Support
source	IEEE Computer Graphics and Applications. November, 1985. vol. 5: pp. 38-50 : ill. includes bibliography
summary	Graphics interfaces support the decision maker in sensitivity analysis - the exploration of proposed solutions and examination of alternatives. The authors present an architecture for rapid preparation of graphics interfaces for large classes of management sciences, operations research, and expert systems models. This architecture is based on a detailed study of sensitivity analysis requests is also presented. The architecture was the basis of a prototype, now operational, which is illustrated through a case study of sensitivity analysis in a vehicle-routing system
keywords	expert systems, user interface, operations research
series	CADline
last changed	2003/06/02 10:24

_id	ed59
authors	Hart, Anna
year	1985
title	Knowledge Elicitation : Issues and Methods
source	Computer Aided Design. November, 1985. vol. 17: pp. 455-462 : ill. includes bibliography
summary	The paper, after briefly outlining the stages in the development of an expert system, describes and reviews methods for knowledge elicitation. These methods include: interview techniques; protocol analysis; induction; and the repertory grid technique
keywords	knowledge acquisition, expert systems, protocol analysis, psychology
series	CADline
last changed	1999/02/12 15:08

_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

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