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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Hits 1 to 20 of 129

_id eb5f
authors Al-Sallal, Khaled A. and Degelman, Larry 0.
year 1994
title A Hypermedia Model for Supporting Energy Design in Buildings
source Reconnecting [ACADIA Conference Proceedings / ISBN 1-880250-03-9] Washington University (Saint Louis / USA) 1994, pp. 39-49
doi https://doi.org/10.52842/conf.acadia.1994.039
summary Several studies have discussed the limitations of the available CAAD tools and have proposed solutions [Brown and Novitski 1987, Brown 1990, Degelman and Kim 1988, Schuman et al 1988]. The lack of integration between the different tasks that these programs address and the design process is a major problem. Schuman et al [1988] argued that in architectural design many issues must be considered simultaneously before the synthesis of a final product can take place. Studies by Brown and Novitski [1987] and Brown [1990] discussed the difficulties involved with integrating technical considerations in the creative architectural process. One aspect of the problem is the neglect of technical factors during the initial phase of the design that, as the authors argued, results from changing the work environment and the laborious nature of the design process. Many of the current programs require the user to input a great deal of numerical values that are needed for the energy analysis. Although there are some programs that attempt to assist the user by setting default values, these programs distract the user with their extensive arrays of data. The appropriate design tool is the one that helps the user to easily view the principal components of the building design and specify their behaviors and interactions. Data abstraction and information parsimony are the key concepts in developing a successful design tool. Three different approaches for developing an appropriate CAAD tool were found in the literature. Although there are several similarities among them, each is unique in solving certain aspects of the problem. Brown and Novitski [1987] emphasize the learning factor of the tool as well as its highly graphical user interface. Degelman and Kim [1988] emphasize knowledge acquisition and the provision of simulation modules. The Windows and Daylighting Group of Lawrence Berkeley Laboratory (LBL) emphasizes the dynamic structuring of information, the intelligent linking of data, the integrity of the different issues of design and the design process, and the extensive use of images [Schuman et al 19881, these attributes incidentally define the word hypermedia. The LBL model, which uses hypermedia, seems to be the more promising direction for this type of research. However, there is still a need to establish a new model that integrates all aspects of the problem. The areas in which the present research departs from the LBL model can be listed as follows: it acknowledges the necessity of regarding the user as the center of the CAAD tool design, it develops a model that is based on one of the high level theories of human-computer interaction, and it develops a prototype tool that conforms to the model.

series ACADIA
email
last changed 2022/06/07 07:54

_id c9e4
authors Birmingham, William P. and Siewiorek, Daniel P.
year 1988
title Automated knowledge Acquisition for a Computer Hardware Synthesis System
source 19 p. : ill. Engineering Design Research Center, CMU, June, 1988. EDRC 18-06-88. includes bibliography
summary The MICON Synthesizer Version 1 (M1) is a rule-based system which produces a complete small computer design from a set of abstract specifications. The ability of M1 to produce designs depends on the encoding of large amounts of domain knowledge. An automated knowledge acquisition tool, CGEN, works symbiotically with M1 by gathering the knowledge required by M1. CGEN acquires knowledge about how to build and when to use various computer structures. This paper overviews the operation of CGEN by providing an example of the types of knowledge acquired and the mechanisms employed. A novel knowledge-intensive generalization scheme is presented. Generalization is a pragmatic necessity for knowledge acquisition in this domain. A series of experiments to test CGEN's capabilities are explained. A description of the architecture and knowledge-base of M1 is also provided
keywords electrical engineering, automation, knowledge acquisition, knowledge base, systems
series CADline
last changed 2003/06/02 13:58

_id 8ac0
authors Birmingham, William P., Gupta, Anurag P. and Siewiorek, Daniel P.
year 1988
title The MICON System for Computer Design
source 11 p. : ill. Pittsburgh, PA: Engineering Design Research Center, CMU, November, 1988. EDRC 18-10-89. includes bibliography
summary The MICON system is an integrated collection of programs which automatically synthesizes small computer systems from high level specifications. The system address multiple levels of design, from logical through physical, providing a rapid prototyping capability. Two programs form MICON's nucleus: a knowledge-based synthesis tool called M1; and, an automated knowledge acquisition tool named CGEN which is used to teach M1 how to design. Other tools in the MICON system are an integrated database and associated data management tools. The system is fully functional, having been used to generate working designs. This paper describes the architecture and operation of the MICON system
keywords integrated circuits, electrical engineering, design, systems, automation, integration
series CADline
last changed 2003/06/02 13:58

_id 0ee6
authors Boyle, R. and Thomas, R.
year 1988
title Computer Vision: A First Course
source Blackwell Scientific Publications
summary Computer vision is a new discipline recently developed from image processing, which is able to take raw images, and, after suitable processing, derive information from them automatically. Computer vision applications are legion in the areas of automated manufacture and robotics, where it may be addressed to such problems as resolving motion in images, and 3-D analysis. This book is a much-needed introduction to the subject for senior undergraduates and graduates. It covers the necessary mathematical techniques at a level suitable for the mathematical literate who has not encountered any image processing before, and proceeds to an examination of some pure vision applications. There is a discussion of human perception and how it relates to machine perception, and there are examples throughout the text, with exercises at the end of each chapter. Table of Contents Perception A pattern recognition system Image acquisition and modelling Low level processing Segmentation A PCB example Line labelling Towards three dimensions Knowledge representation Rule based systemsl Epilogue Appendices.
series other
last changed 2003/04/23 15:14

_id 4086
authors Ervin, Stephen M.
year 1988
title Computer-Aided Diagramming and the `Generator-Test' Cycle
source 1988. 22 p.: ill. includes bibliography
summary Simon's `generator-test' model is both a metaphor and a literal prescription for the organization of computer systems for designing. In most approaches to computer-aided design, one side of the cycle - generating or testing - is reserved to the human designer, the other side delegated to the computer. A more comfortable and comprehensive approach is to support switching these roles between designer and computer. This approach underlies a prototype system for computer-aided diagramming, the CBD (Constraint-Based Diagrammer). Diagramming is an important design activity, especially in preliminary design, as diagrams play a pivotal role between graphic and symbolic knowledge. Diagrams as a medium of knowledge representation and as means of inference have an ambivalent status in the generator-test model; they may serve either purpose. Examination of CBD sheds some light on Simon's model and on the requirements for sharing generating and testing with computational design tools
keywords problem solving, CAD, constraints, evaluation, synthesis
series CADline
last changed 2003/06/02 13:58

_id 68c8
authors Flemming, U., Coyne, R. and Fenves, S. (et al.)
year 1994
title SEED: A Software Environment to Support the Early Phases in Building Design
source Proceeding of IKM '94, Weimar, Germany, pp. 5-10
summary The SEED project intends to develop a software environment that supports the early phases in building design (Flemming et al., 1993). The goal is to provide support, in principle, for the preliminary design of buildings in all aspects that can gain from computer support. This includes using the computer not only for analysis and evaluation, but also more actively for the generation of designs, or more accurately, for the rapid generation of design representations. A major motivation for the development of SEED is to bring the results of two multi-generational research efforts focusing on `generative' design systems closer to practice: 1. LOOS/ABLOOS, a generative system for the synthesis of layouts of rectangles (Flemming et al., 1988; Flemming, 1989; Coyne and Flemming, 1990; Coyne, 1991); 2. GENESIS, a rule-based system that supports the generation of assemblies of 3-dimensional solids (Heisserman, 1991; Heisserman and Woodbury, 1993). The rapid generation of design representations can take advantage of special opportunities when it deals with a recurring building type, that is, a building type dealt with frequently by the users of the system. Design firms - from housing manufacturers to government agencies - accumulate considerable experience with recurring building types. But current CAD systems capture this experience and support its reuse only marginally. SEED intends to provide systematic support for the storing and retrieval of past solutions and their adaptation to similar problem situations. This motivation aligns aspects of SEED closely with current work in Artificial Intelligence that focuses on case-based design (see, for example, Kolodner, 1991; Domeshek and Kolodner, 1992; Hua et al., 1992).
series other
email
last changed 2003/04/23 15:14

_id a62c
authors Flemming, Ulrich, Coyne, Robert F. and Glavin, Timothy J. (et al)
year 1988
title A Generative Expert System for the Design of Building Layouts -- Version 2
source Artificial Intelligence in Engineering: Design. editor. John J. Gero. Elsevier (Computational Mechanics Publications), 1988. PP. 445-464 : ill. includes bibliography
summary The paper describes an attempt to increase the intelligence of a CAD system by adding capabilities (1) to systematically enumerate alternative solutions to a design problem, and (2) to take, at the same time, a broad spectrum of criteria or concerns into account. These capabilities are intended to complement the designer's abilities and performance. In connection with such attempts, fundamental problems arise when the objects to be designed have shape and are located in space. These problems are identified, and an approach to solve them is outlined. This approach is currently being tested over a range of domains all of which deal with the design of layouts of rectangles subject to constraints and criteria. The search for alternatives takes place in a state space with properties that make it possible to systematically explore and evaluate the power of various search strategies or planning paradigms. The state space is established through a domain-independent generator, while the evaluation of points in that space is carried out by a domain-dependent tester built up through a process of knowledge acquisition familiar from work with expert systems
keywords design, expert systems, CAD, enumeration, shape grammars,architecture, intelligence, synthesis, space allocation, layout, floor plans
series CADline
email
last changed 2003/06/02 13:58

_id cc50
authors Gossard, D.C., Zuffante, R.P. and Sakurai, H.
year 1988
title Representing Dimensions, Tolerances, and Features in MCAE Systems
source IEEE Computer Graphics and Applications. March, 1988. vol. 8: pp. 51-59 : ill. includes bibliography
summary Presented is a method for explicitly representing dimensions, tolerances, and geometric features in solid models. The method combines CSG and boundary representations in a graph structure called an object graph. Dimensions are represented by a relative position operator. The method can automatically translate changes in dimensional values into corresponding changes in geometry and topology. The representation provides an important foundation for higher level application programs to automate the redesign of assemblies and to automate tolerance analysis and synthesis. A prototype interactive polyhedral modeler based on this representation was implemented
keywords CAE, B-rep, representation, CAD, CAM, features, dimensioning, tolerances, graphs, topology, geometric modeling, assemblies
series CADline
last changed 2003/06/02 14:42

_id 0803
authors Jabri, Marwan A. and Skellern, David J.
year 1988
title Automatic Floorplan Design Using PIAF
source August, 1988. 36 p. : ill. tables
summary This paper presents PIAF (a Package for Intelligent and Algorithmic Floorplanning), developed at Sydney University Electrical Engineering (SUEE) for use in custom integrated circuit design. Floorplanning plays a crucial role in the design of custom integrated circuits. When design is approached in a top-down fashion, the function to be implemented on silicon is first decomposed in a conceptual phase into a Functional Block Diagram (FBD). This FBD has a 'blocks and buses' structure where blocks represent sub- functions and buses represent the interconnections that carry data and other information between blocks. The decomposition of the function into sub-functions is hierarchical and aims at reducing the complexity of the design problem. When the FBD is known, the floorplanning process may be performed. When this task is performed manually, the designer searches for a relative placement of the blocks and for an area and shape for each block to minimize the overall chip layout area while at the same time meeting design constraints such as design tool limitations, interconnection characteristics and technological design rules. PIAF is a knowledge-based system (KBS) that has been developed at SUEE during the last four years. It relies on a strategy that partitions the floorplanning task in a way that allows efficient use of heuristics and specialized design knowledge in the generation and pruning of the solution space. This paper presents the operation of PIAF and discusses several implementation issues including; KBS structure, knowledge representation, knowledge acquisition, current context memory design, design quality factors and explanation facility. This paper uses a running example to present the operation of each PIAF's KBS-based solving phases
keywords knowledge, representation, knowledge acquisition, electrical engineering, design, integrated circuits, knowledge base, systems, layout, synthesis
series CADline
last changed 2003/06/02 10:24

_id 4744
authors Livingstone, Margaret and Hubel, David
year 1988
title Segregation of Form, Color, Movement, and Depth : Anatomy, Physiology, and Perception
source Science. May, 1988. vol. 240: pp. 740-750 : ill. some col. includes bibliography
summary Anatomical and physiological observations in monkeys indicate that the primate visual system consists of several separate and independent subdivisions that analyze different aspects of the same retinal image: cells in cortical visual areas 1 and 2 and higher visual areas are segregated into three interdigitating subdivisions that differ in their selectivity for color, stereopsis, movement, and orientation. The pathways selective for form and color seem to be derived mainly from the parvocellular geniculate subdivisions, the depth- and movement-selective components from the magnocellular. At lower levels, in the retina and in the geniculate, cells in these two subdivisions differ in their color selectivity, contrast sensitivity, temporal properties, and spatial resolution. These major differences in the properties of cells at lower levels in each of the subdivisions led to the prediction that different visual functions, such as color, depth, movement, and form perception, should exhibit corresponding differences. Human perceptual experiments are remarkably consistent with these predictions. Moreover, perceptual experiments can be designed to ask which subdivisions of the system are responsible for particular visual abilities, such as figure/ground discrimination or perception of depth from perspective or relative movement-functions that might be difficult to deduce from single-cell response properties
keywords color, theory, perception
series CADline
last changed 2003/06/02 10:24

_id 2e5a
authors Matsumoto, N. and Seta, S.
year 1997
title A history and application of visual simulation in which perceptual behaviour movement is measured.
source Architectural and Urban Simulation Techniques in Research and Education [3rd EAEA-Conference Proceedings]
summary For our research on perception and judgment, we have developed a new visual simulation system based on the previous system. Here, we report on the development history of our system and on the current research employing it. In 1975, the first visual simulation system was introduced, witch comprised a fiberscope and small-scale models. By manipulating the fiberscope's handles, the subject was able to view the models at eye level. When the pen-size CCD TV camera came out, we immediately embraced it, incorporating it into a computer controlled visual simulation system in 1988. It comprises four elements: operation input, drive control, model shooting, and presentation. This system was easy to operate, and the subject gained an omnidirectional, eye-level image as though walking through the model. In 1995, we began developing a new visual system. We wanted to relate the scale model image directly to perceptual behavior, to make natural background images, and to record human feelings in a non-verbal method. Restructuring the above four elements to meet our equirements and adding two more (background shooting and emotion spectrum analysis), we inally completed the new simulation system in 1996. We are employing this system in streetscape research. Using the emotion spectrum system, we are able to record brain waves. Quantifying the visual effects through these waves, we are analyzing the relation between visual effects and physical elements. Thus, we are presented with a new aspect to study: the relationship between brain waves and changes in the physical environment. We will be studying the relation of brain waves in our sequential analysis of the streetscape.
keywords Architectural Endoscopy, Endoscopy, Simulation, Visualisation, Visualization, Real Environments
series EAEA
email
more http://www.bk.tudelft.nl/media/eaea/eaea97.html
last changed 2005/09/09 10:43

_id 6c93
authors Rehg, J., Elfes, A. and Talukdar, S.N. (et al)
year 1988
title CASE : Computer-Aided Simultaneous Engineering
source 13 p. : ill
summary Pittsburgh, PA: Engineering Design Research Center, CMU, 1988. EDRC 05-22-88. This paper presents a new system for computer-aided mechanical design known as CASE, which stands for Computer- Aided Simultaneous Engineering. CASE was developed to support mechanical design at the project level, and serve as a means of integrating into the design process concerns from other parts of the lifecycle of a product. CASE is composed of an integrated framework of synthesis, analysis, and translation programs, and is designed to serve as a testbed for research in representation, problem-solving, and systems integration for computer-aided mechanical design. A prototype version of CASE has been applied to the domain of window regulator design, and is capable of automatically synthesizing regulators to meet a set of specifications and performing tolerance and stress analysis on developing designs
keywords representation, problem solving, constraints, reasoning, mechanical engineering
series CADline
last changed 2003/06/02 14:42

_id 861a
authors Sedas, Sergio W. and Talukdar, Sarosh N.
year 1987
title A Disassembly Planner for Redesign
source The Winter Annual Meeting of the American Society of Mechanical Engineers. Symposium of Intelligent and Integrated Manufacturing Analysis and Synthesis. December, 1987. Pittsburgh, PA: Engineering Design Research Center, CMU, 1988. [6] p. : ill. includes bibliography
summary This paper describes an algorithm for generating plans for disassembling given objects. The plans are produced by a set of knowledge sources acting on a set of representations for the object. Both sets are arbitrarily expandable, so programs using the approach can grow continually in capability. Our present complement of knowledge sources and representations can tackle relatively difficult problems. Three examples are included. The first requires a good bit of geometric reasoning before appropriate subassemblies can be selected. The second and third require certain movable parts to be repositioned before disassembly can be achieved
keywords algorithms, representation, synthesis, assemblies, knowledge, reasoning, mechanical engineering
series CADline
last changed 2003/06/02 13:58

_id avocaad_2001_19
id avocaad_2001_19
authors Shen-Kai Tang, Yu-Tung Liu, Yu-Sheng Chung, Chi-Seng Chung
year 2001
title The visual harmony between new and old materials in the restoration of historical architecture: A study of computer simulation
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 the research of historical architecture restoration, scholars respectively focus on the field of architectural context and architectural archeology (Shi, 1988, 1990, 1991, 1992, 1995; Fu, 1995, 1997; Chiu, 2000) or on architecture construction and the procedure of restoration (Shi, 1988, 1989; Chiu, 1990). How to choose materials and cope with their durability becomes an important issue in the restoration of historical architecture (Dasser, 1990; Wang, 1998).In the related research of the usage and durability of materials, some scholars deem that, instead of continuing the traditional ways that last for hundreds of years (that is to replace new materials with old ones), it might be better to keep the original materials (Dasser, 1990). However, unavoidably, some of the originals are much worn. Thus we have to first establish the standard of eliminating components, and secondly to replace identical or similar materials with the old components (Lee, 1990). After accomplishing the restoration, we often unexpectedly find out that the renewed historical building is too new that the sense of history is eliminated (Dasser, 1990; Fu, 1997). Actually this is the important factor that determines the accomplishment of restoration. In the past, some scholars find out that the contrast and conflict between new and old materials are contributed to the different time of manufacture and different coating, such as antiseptic, pattern, etc., which result in the discrepancy of the sense of visual perception (Lee, 1990; Fu, 1997; Dasser, 1990).In recent years, a number of researches and practice of computer technology have been done in the field of architectural design. We are able to proceed design communication more exactly by the application of some systematic softwares, such as image processing, computer graphic, computer modeling/rendering, animation, multimedia, virtual reality and so on (Lawson, 1995; Liu, 1996). The application of computer technology to the research of the preservation of historical architecture is comparatively late. Continually some researchers explore the procedure of restoration by computer simulation technology (Potier, 2000), or establish digital database of the investigation of historical architecture (Sasada, 2000; Wang, 1998). How to choose materials by the technology of computer simulation influences the sense of visual perception. Liu (2000) has a more complete result on visual impact analysis and assessment (VIAA) about the research of urban design projection. The main subjects of this research paper focuses on whether the technology of computer simulation can extenuate the conflict between new and old materials that imposed on visual perception.The objective of this paper is to propose a standard method of visual harmony effects for materials in historical architecture (taking the Gigi Train Station destroyed by the earthquake in last September as the operating example).There are five steps in this research: 1.Categorize the materials of historical architecture and establish the information in digital database. 2.Get new materials of historical architecture and establish the information in digital database. 3.According to the mixing amount of new and old materials, determinate their proportion of the building; mixing new and old materials in a certain way. 4.Assign the mixed materials to the computer model and proceed the simulation of lighting. 5.Make experts and the citizens to evaluate the accomplished computer model in order to propose the expected standard method.According to the experiment mentioned above, we first address a procedure of material simulation of the historical architecture restoration and then offer some suggestions of how to mix new and old materials.By this procedure of simulation, we offer a better view to control the restoration of historical architecture. And, the discrepancy and discordance by new and old materials can be released. Moreover, we thus avoid to reconstructing ¡§too new¡¨ historical architecture.
series AVOCAAD
email
last changed 2005/09/09 10:48

_id avocaad_2001_20
id avocaad_2001_20
authors Shen-Kai Tang
year 2001
title Toward a procedure of computer simulation in the restoration of historical architecture
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 the field of architectural design, “visualization¨ generally refers to some media, communicating and representing the idea of designers, such as ordinary drafts, maps, perspectives, photos and physical models, etc. (Rahman, 1992; Susan, 2000). The main reason why we adopt visualization is that it enables us to understand clearly and to control complicated procedures (Gombrich, 1990). Secondly, the way we get design knowledge is more from the published visualized images and less from personal experiences (Evans, 1989). Thus the importance of the representation of visualization is manifested.Due to the developments of computer technology in recent years, various computer aided design system are invented and used in a great amount, such as image processing, computer graphic, computer modeling/rendering, animation, multimedia, virtual reality and collaboration, etc. (Lawson, 1995; Liu, 1996). The conventional media are greatly replaced by computer media, and the visualization is further brought into the computerized stage. The procedure of visual impact analysis and assessment (VIAA), addressed by Rahman (1992), is renewed and amended for the intervention of computer (Liu, 2000). Based on the procedures above, a great amount of applied researches are proceeded. Therefore it is evident that the computer visualization is helpful to the discussion and evaluation during the design process (Hall, 1988, 1990, 1992, 1995, 1996, 1997, 1998; Liu, 1997; Sasada, 1986, 1988, 1990, 1993, 1997, 1998). In addition to the process of architectural design, the computer visualization is also applied to the subject of construction, which is repeatedly amended and corrected by the images of computer simulation (Liu, 2000). Potier (2000) probes into the contextual research and restoration of historical architecture by the technology of computer simulation before the practical restoration is constructed. In this way he established a communicative mode among archeologists, architects via computer media.In the research of restoration and preservation of historical architecture in Taiwan, many scholars have been devoted into the studies of historical contextual criticism (Shi, 1988, 1990, 1991, 1992, 1995; Fu, 1995, 1997; Chiu, 2000). Clues that accompany the historical contextual criticism (such as oral information, writings, photographs, pictures, etc.) help to explore the construction and the procedure of restoration (Hung, 1995), and serve as an aid to the studies of the usage and durability of the materials in the restoration of historical architecture (Dasser, 1990; Wang, 1998). Many clues are lost, because historical architecture is often age-old (Hung, 1995). Under the circumstance, restoration of historical architecture can only be proceeded by restricted pictures, written data and oral information (Shi, 1989). Therefore, computer simulation is employed by scholars to simulate the condition of historical architecture with restricted information after restoration (Potier, 2000). Yet this is only the early stage of computer-aid restoration. The focus of the paper aims at exploring that whether visual simulation of computer can help to investigate the practice of restoration and the estimation and evaluation after restoration.By exploring the restoration of historical architecture (taking the Gigi Train Station destroyed by the earthquake in last September as the operating example), this study aims to establish a complete work on computer visualization, including the concept of restoration, the practice of restoration, and the estimation and evaluation of restoration.This research is to simulate the process of restoration by computer simulation based on visualized media (restricted pictures, restricted written data and restricted oral information) and the specialized experience of historical architects (Potier, 2000). During the process of practicing, communicates with craftsmen repeatedly with some simulated alternatives, and makes the result as the foundation of evaluating and adjusting the simulating process and outcome. In this way we address a suitable and complete process of computer visualization for historical architecture.The significance of this paper is that we are able to control every detail more exactly, and then prevent possible problems during the process of restoration of historical architecture.
series AVOCAAD
email
last changed 2005/09/09 10:48

_id 450c
authors Akin, Ömer
year 1990
title Computational Design Instruction: Toward a Pedagogy
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. 302-316
summary The computer offers enormous potential both in and out of the classroom that is realized only in limited ways through the applications available to us today. In the early days of the computer it was generally argued that it would replace the architect. When this idea became obsolete, the prevailing opinion of proponents and opponents alike shifted to the notion of the computer as merely adding to present design capabilities. This idea is so ingrained in our thinking that we still speak of "aiding" design with computers. It is clear to those who grasp the real potential of this still new technology - as in the case of many other major technological innovations - that it continues to change the way we design, rather than to merely augment or replace human designers. In the classroom the computer has the potential to radically change three fundamental ingredients: student, instruction, and instructor. It is obvious that changes of this kind spell out a commensurate change in design pedagogy. If the computer is going to be more than a passive instrument in the design studio, then design pedagogy will have to be changed, fundamentally. While the practice of computing in the studio continues to be a significant I aspect of architectural education, articulation of viable pedagogy for use in the design studio is truly rare. In this paper the question of pedagogy in the CAD studio will be considered first. Then one particular design studio taught during Fall 1988 at Carnegie Mellon University will be presented. Finally, we shall return to issues of change in the student, instruction, and instructor, as highlighted by this particular experience.
series CAAD Futures
email
last changed 2003/11/21 15:15

_id 0697
authors Balachandran, M.B. and Gero, John S.
year 1988
title Development of a Knowledge-Based System for Structural Optimization
source Dordrecht: Kluwer, 1988. pp. 17-24
summary Optimization is a useful and challenging activity in structural design. It provides designers with tools for better designs while saving time in the design process. The features of conventional optimization tools are presented and their limitations are outlined. The impact and role of knowledge-based methodologies in structural optimization processes is discussed. Structural optimization involves a number of tasks which require human expertise, and are traditionally assisted by human designers. These include design optimization formulation, problem recognition and the selection of appropriate algorithm(s). In this representation and processing of constraints are crucial tasks. This paper presents a framework for developing a knowledge-based system to accomplish these tasks. Based on the needs and the nature of the optimization process, a conceptual architecture of an integrated knowledge-based system is presented. The structure and functions of various components of the system are described
keywords knowledge base, systems, integration, optimization, structures, engineering
series CADline
email
last changed 2003/06/02 13:58

_id c568
authors Balachandran, M.B. and John S. Gero
year 1987
title A Model for Knowledge Based Graphical Interfaces
source AI '87: Proceedings of the Australian Joint Artificial Intelligence Conference. 1987. pp. 505-521. Also published in Artificial Intelligence Developments and Applications edited by J. S. Gero and R Stanton, North-Holland Pub. 1988. -- CADLINE has abstract only.
summary This paper describes a model for knowledge-based graphical interface which incorporates a variety of knowledge of the domain of application. The key issues considered include graphics interpretation, extraction of features of graphics objects and identification of prototype objects. The role of such knowledge-based interfaces in computer-aided design is discussed. A prototype system developed in Prolog and C is described and its application in the domain of structural engineering is demonstrated
keywords user interface, computer graphics, knowledge base, systems, civil engineering, structures
series CADline
email
last changed 2003/06/02 13:58

_id c6d5
authors Balachandran, M.B.
year 1988
title A Model for Knowledge-Based Design Optimization [PhD dissertation]
source Dept. of Architectural Science, University of Sydney
summary Unpublished. CADLINE has abstract only. This dissertation is concerned with developments in design decision methodologies applied to computer-aided design. The major aim of this research was to design and develop a knowledge-based computer-aided optimization system that has the ability to emulate some of the human performances in design decision processes. The issues and problems involved in developing a knowledge-based system for design optimization are addressed. A knowledge-based methodology to aid design optimization formulation is investigated. The major issues considered include representation of design description, the variety of knowledge required for the formulation process, recognizing optimization formulations, and selection of appropriate algorithms. It is demonstrated that the knowledge-based control of numerical processes leads to efficient and improved decisions in design. In developing knowledge-based systems for computer-aided decision applications an effective human-machine interface is essential. A model for knowledge-based graphical interfaces is proposed. This model incorporates knowledge for graphics interpretation, extraction of features of graphics objects and identification of prototypical objects. An experimental system developed in Prolog and C is demonstrated in the domain of structural design. The system shows one way of combining knowledge-based systems technology with computer graphics and indicates how knowledge-based interfaces improve the system's interactive capabilities. Finally, the system, OPTIMA, is presented. The system is designed as an integrated knowledge-based decision system using frames, rule bases, menu inputs, algebraic computation and optimization algorithms. The system has been written in LISP, Prolog and C and implemented on SUN Microsystems workstations. The performance of the system is demonstrated using two example problems from the domains of structural and architectural design respectively. The knowledge-based approach to design optimization is shown to be considerably easier and more efficient than those using conventional programs.
keywords Knowledge Base, Systems, CAD, Representation, Design, Frames, Computer Graphics, User Interface, Decision Making
series CADline
last changed 2003/06/02 13:58

_id c7f4
authors Bancroft, Pamela J. (ed.)
year 1988
title Computing in Design Education [ACADIA Conference Proceedings]
source ACADIA ‘88 Conference Proceedings /Ann Arbor (Michigan / USA) 28-30 October 1988, 311 p.
doi https://doi.org/10.52842/conf.acadia.1988
summary Progress is being made towards integrating computing into architectural design. This progress is not being made in a coordinated and systematic manner, which is actually a positive factor. Architects will never be scientists or engineers, who hold the distinguishing characteristic of being masters of the scientific method. We have never been so incumbered, although we certainly have given it our best effort.

Architects are creative problem solvers, primarily driven by intuition, while coming from a sense of the past and the logic of the present. Our initial attempts at integrating computing into the studio, as evidenced by this collection of papers, is very diverse, based on differing pedagogical assumptions, and the achieving of significantly different results. This would appear to be evidence of a revolutionary approach to the problem rather than a scientific evolutionary approach. Terrific! This is when we as architects are at our best. Although we reach a great number of emphatically dead ends, the successes and discoveries achieved along the way are significant.

The diversity and quality of papers submitted suggest that we are indeed pursuing the task of integration in our typical, individual, intuitive, logical manner. I commend all of the authors who submitted proposals and thank them for expanding the envelope of integration into their personal exploration.

series ACADIA
last changed 2022/06/07 07:49

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