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	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	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	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	ddss9408
id	ddss9408
authors	Bax, Thijs and Trum, Henk
year	1994
title	A Taxonomy of Architecture: Core of a Theory of Design
source	Second Design and Decision Support Systems in Architecture & Urban Planning (Vaals, the Netherlands), August 15-19, 1994
summary	The authors developed a taxonomy of concepts in architectural design. It was accepted by the Advisory Committee for education in the field of architecture, a committee advising the European Commission and Member States, as a reference for their task to harmonize architectural education in Europe. The taxonomy is based on Domain theory, a theory developed by the authors, based on General Systems Theory and the notion of structure according to French Structuralism, takes a participatory viewpoint for the integration of knowledge and interests by parties in the architectural design process. The paper discusses recent developments of the taxonomy, firstly as a result of a confrontation with similar endeavours to structure the field of architectural design, secondly as a result of applications of education and architectural design practice, and thirdly as a result of theapplication of some views derived from the philosophical work from Charles Benjamin Peirce. Developments concern the structural form of the taxonomy comprising basic concepts and levelbound scale concepts, and the specification of the content of the fields which these concepts represent. The confrontation with similar endeavours concerns mainly the work of an ARCUK workingparty, chaired by Tom Marcus, based on the European Directive from 1985. The application concerns experiences with a taxonomy-based enquiry in order to represent the profile of educational programmes of schools and faculties of architecture in Europe in qualitative and quantitative terms. This enquiry was carried out in order to achieve a basis for comparison and judgement, and a basis for future guidelines including quantitative aspects. Views of Peirce, more specifically his views on triarchy as a way of ordering and structuring processes of thinking,provide keys for a re-definition of concepts as building stones of the taxonomy in terms of the form-function-process-triad, which strengthens the coherence of the taxonomy, allowing for a more regular representation in the form of a hierarchical ordered matrix.
series	DDSS
last changed	2003/08/07 16:36

_id	4275
authors	Cowan, David
year	1985
title	Artificial Intelligence at Edinburgh University
source	computer Aided Design. November, 1985. vol. 17: pp. 465-468
summary	The development of research into the area of artificial intelligence is described. It was first recognized by Edinburgh University as an independent discipline in 1966 and there is now an Artificial Intelligence Applications Institute. The main areas of artificial intelligence research are summarized. The five projects carried out with Alvey funding are examined in more detail. They cover such topics as natural language and text processing, 3D modelling and expert systems
keywords	AI, expert systems, modeling, natural languages
series	CADline
last changed	1999/02/12 15:07

_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	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	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	8298
authors	Quadrel, Richard W. and Chassin, David P.
year	1985
title	Energy Graphics: A Progress Report on the Development of Architectural Courseware
source	ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 129-141
doi	https://doi.org/10.52842/conf.acadia.1985.129
summary	Energy Graphics is a technique for determining the energy performance of buildings at the conceptual stage of the architectural design process. Unlike many energy analysis programs, which only produce results after ail of the building information has been supplied, Energy Graphics works with the designer in understanding how early decisions about building form and configuration affect energy use. The Energy Graphics technique is currently being "computerized" on a Sun 2/120 graphics workstation, under a grant by the Inter-University Consortium for Educational Computing. The resulting software will be used in the architectural design curriculum so that students will be able to receive an immediate energy evaluation of their design explorations. For use in the studios, the software must include a powerful graphics interface that allows students to "sketch" their design concepts interactively. The computer will then interpret these sketches as building information, organize them into an integrated database, perform the energy calculations, and inform the student of the results in a graphic format. One of the project's major goals is to provide this graphics interface in the same way that architects think about drawing, and not simply to imitate current computer "drafting" systems. The goals of the project can only be met by developing the software on a powerful workstation system, which provides fast processing time, large memory, multitasking capabilities and high-resolution graphics. This progress report describes our efforts to date on the development of this important software.
series	ACADIA
last changed	2022/06/07 08:00

_id	8f9d
authors	Wolchko, Matthew J.
year	1985
title	Strategies Toward Architectural Knowledge Engineering
source	ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 69-82
doi	https://doi.org/10.52842/conf.acadia.1985.069
summary	Conventional CAD-drafting systems become more powerful modeling tools with the addition of a linked attribute spreadsheet module. This affords the designer the ability to make design decisions not only in the graphic environment, but also as a consequence of quantitative design constraints made apparent in the spreadsheet. While the spreadsheet interface is easily understood by the user, it suffers from two limitations: it lacks a variety of functional capabilities that would enable it to solve more complex design tasks; also, it can only report on existing conditions in the graphic environment. A proposal is made for the enhancement of the spreadsheet's programming power, creating an interface for the selection of program modules that can solve various architectural design tasks. Due to the complexity and graphic nature of architectural design, it is suggested that both procedural and propositional programming methods be used in concert within such a system. In the following, a suitable design task (artificial illumination-reflected ceiling layout) is selected, and then decomposed into two parts: the quantitative analysis (via the application of a procedural programming algorithm), and a logical model generation using shape grammar rules in a propositional framework.
series	ACADIA
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	2928
authors	Barsky, Brian A. and De Rose, Tony D.
year	1985
title	The Beta2-spline : A Special Case of the Beta-spline Curve and Surface Representation
source	IEEE Computer Graphics and Applications September, 1985. vol. 5: pp. 46-58 : ill. includes bibliography.
summary	This article develops a special case of the Beta-spline curve and surface technique called the Beta2-spline. While a general Beta-spline has two parameters (B1 and B2) controlling its shape, the special case presented here has only the single parameter B2. Experience has shown this to be a simple but very useful special case that is computationally more efficient than the general case. Optimized algorithms for the evaluation of the Beta2-spline basis functions and rendering of Beta2-spline curves and surfaces via subdivision are presented. This technique is proving to be quite useful in the modeling of complex shapes. The representation is sufficiently general and flexible so as to be capable of modeling irregular curved-surface objects such as automobile bodies, aircraft fuselages, ship hulls, turbine blades, and bottles
keywords	B-splines, curved surfaces, computational geometry, representation, algorithms, computer graphics, rendering
series	CADline
last changed	2003/06/02 14:41

_id	2d64
authors	Batori, D.S. and Kim, W.
year	1985
title	Modeling Concepts for VLSI CAD Objects
source	ACM Transactions on Database Systems 10 No. 3 - pp. 322-346
summary	VLSI CAD applications deal with design objects that have an interface description and an implementation description. Versions of design objects have a common interface but differ in their implementations. A molecular object is a modeling construct which enables a database entity to be represented by two sets of heterogeneous records, one set describes the object's interface and the other describes its implementation. Thus a reasonable starting point for modeling design objects is to begin with the concept of molecular objects. In this paper, we identify modeling concepts that are fundamental to capturing the semantics of VLSI CAD design objects and versions in terms of molecular objects. A provisional set of user operations on design objects, consistent with these modeling concepts, is also defined. The modeling framework that we present has been found useful for investigating physical storage techniques and change notification problems in version control. REFERENCES
series	journal paper
last changed	2003/11/21 15:16

_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	ca88
authors	Buzbee, B.L. and Sharp, D.H.
year	1985
title	Perspectives on Supercomputing
source	Science. February, 1985. vol. 227: pp. 591-597 : ill. includes bibliography
summary	This article provides a brief look at the current status of supercomputers and supercomputing in the United States. It addresses a variety of applications of supercomputers and the characteristics of a large modern supercomputing facility, the radical changes in the design of supercomputers that are impending, and the conditions that are necessary for a conducive climate for the further development and application of supercomputers
keywords	parallel processing, hardware, business
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	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	2dd3
authors	Hall, Theodore W.
year	1985
title	Design-Aided Computing: Adapting Old Spaces to New Uses
source	ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 25-34
doi	https://doi.org/10.52842/conf.acadia.1985.025
summary	The introduction of computer-aided design to an architecture school requires many departures from tradition—not only in the curriculum, but also in the facilities. Although there is an abundance of technical information available for the design of new computer rooms, building one from scratch is a luxury that few architecture schools can afford. To catch up with the computer revolution - and, it is to be hoped, come to lead it—colleges must engage in the adaptive re-use of spaces that are often not particularly well-suited to the special needs of computing. This paper describes some of the issues that should be considered when an architecture school takes its first plunge into computing. It is not a technical reference, but rather an overview General guidelines are discussed, followed by a detailed case history of our own mixed experience The emphasis is on the need for developing specific plans regarding computer applications before making any big commitments.
series	ACADIA
email
last changed	2022/06/07 07:50

_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	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

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