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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Reformat results as: short short into frame detailed detailed into frame

_id	887e
authors	Belajcic, N. D.
year	1988
title	Computer Implementation of Shape Grammars
source	Department of Architectural Science, University of Sydney
summary	An approach is taken that shape grammars can be used as a possible vehicle for automated design generation. Historical background of shape grammars is discussed with emphasis on vocabulary/syntax aspect of the design process and significance of class solutions to problems. Similarities with expert system mechanics and structure is highlighted and advantages and disadvantages of rule-based and frame-based systems are considered. These concepts are implemented in a computer program written in LISP employing icon driven graphic interface with tools for creating shapes and rules. Finally, problems associated with adopted reasoning strategies are reported and areas of further development and improvement suggested. [UNPUBLISHED. CADLINE has abstract only]
keywords	Shape Grammars, Design Process
series	thesis:MSc
last changed	2002/12/14 19:10

_id	5f4b
authors	Coyne, R.D.
year	1988
title	Logic Models of Design
source	Pitman, London
summary	This monograph places design in a theoretical context which applies developments in knowledge-based systems, logic programming and planning to design. It addresses two important design issues: the interpretation of designs, which concerns the discovery of implicit design attributes, a key activity in design evaluation that can be modelled by deductive inference in logic programming; and the process of generation, whereby a design description is produced which exhibits these implicit design attributes. Implicit attributes can be seen as analogous to the semantic content of natural language utterances. The work presented here is mainly concerned with design generation, and an operational model of design is investigated in which operations on processes are treated in a similar way to operations on form. It is argued that there are advantages in representing control knowledge as rules in a design system, and that logic is an effective medium for this purpose. This is demonstrated by means of programs developed in Prolog and C using the example of spatial layout in buildings. Primarily, this book is directed at those in artificial intelligence (AI) involved in logic programming, planning and expert systems. However, since AI techniques are finding widespread application in industry, the use of an architectural design example makes this work relevant to architects, designers, engineers and developers of intelligent architectural design software.
series	other
email
last changed	2003/04/23 15:14

_id	a1a1
authors	Cornick, T. and Bull, S.
year	1988
title	Expert Systems for Detail Design in Building
source	CAAD futures ‘87 [Conference Proceedings / ISBN 0-444-42916-6] Eindhoven (The Netherlands), 20-22 May 1987, pp. 117-126
summary	Computer-Aided Architectural Design (CAAD) requires detailed knowledge of the construction of building elements to be effective as a complete design aid. Knowledge-based systems provide the tools for both encapsulating the "rules" of construction - i.e. the knowledge of good construction practice gained from experience - and relating those rules to geometric representation of building spaces and elements. The "rules" of construction are based upon the production and performance implications of building elements and how these satisfy various functional criteria. These building elements in turn may be related to construction materials, components and component assemblies. This paper presents two prototype knowledge-based systems, one dealing with the external envelope and the other with the internal space division of buildings. Each is "component specific" and is based upon its own model of the overall construction. This paper argues that "CAAD requires component specific knowledge bases and that integration of these knowledge bases into a knowledge-based design system for complete buildings can only occur if every knowledge base relates to a single coordinated construction model".
series	CAAD Futures
last changed	1999/04/03 17:58

_id	e1e2
authors	Danahy, John
year	1988
title	Engaging Intuitive Visual Thinking in Urban Design Modelling: A Real-Time Hypothesis
source	Computing in Design Education [ACADIA Conference Proceedings] Ann Arbor (Michigan / USA) 28-30 October 1988, pp. 87-97
doi	https://doi.org/10.52842/conf.acadia.1988.087
summary	This paper will present prototypical software being used in the teaching of urban design to students and for use by professionals in the early stages of a project. The system is intended to support a heuristic approach to design. That is, it supports a process of refining ideas and understandings through a process of trial and error. The support or aid to design comes in the form of a didactic real-time programme. Its power lies in its ability to provide instantaneous response to operations on the data that can allow one to develop threedimensional spatial ideas in an intuitively driven manner. This condition appears to occur for both novice and expert computer operators. The presentation will present our experience to-date in using conventional computer graphic tools to represent design ideas and contrast it with a video demonstration of our prototypical dynamic urban design modelling software for the Silicon Graphics IRIS computers.
series	ACADIA
email
last changed	2022/06/07 07:55

_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	7e15
authors	Kvan, Thomas
year	1997
title	Chips, chunks and sauces
source	International Journal of Design Computing, 1, 1997 (Editorial)
summary	I am sure there is an art in balancing the chunks to use with your chips. Then there is the sauce that envelops them both. I like my chips chunky and not too saucy. Not that I am obsessed with food but I don't think you can consider design computing without chunks. It's the sauce I'm not sure about.The chunks of which I write are not of course those in your salsa picante but those postulated by Chase and Simon (1973) reflecting on good chess players; the chunks of knowledge with which an expert tackles a problem in their domain of expertise. The more knowledge an expert has of complex and large configurations of typical problem situations (configurations of chess pieces), the greater range of solutions the expert can bring a wider to a particular problem. Those with more chunks have more options and arrive at better solutions. In other words, good designs come from having plenty of big chunks available. There has been a wealth of research in the field of computer-supported collaborative work in the contexts of writing, office management, software design and policy bodies. It is typically divided between systems which support decision making (GDSS: group decision support systems) and those which facilitate joint work (CSCW: computer-based systems for co-operative work) (see Dennis et al. (1988) for a discussion of the distinctions and their likely convergence). Most implementations in the world of design have been on CSCW systems, few have looked at trying to make a group design decision support system (GDDSS?). Most of the work in CSCD has been grounded in the heritage of situated cognition - the assumption that collaborative design is an act that is intrinsically grounded in the context within which it is carried out, that is, the sauce in which we find ourselves swimming daily. By sauce, therefore, I am referring to anything that is not knowledge in the domain of expertise, such as modes of interaction, gestures, social behaviours.
series	journal paper
email
last changed	2003/05/15 10:29

_id	45b7
authors	Oxman, R.E.
year	1988
title	Expert System for Generation and Evaluation in Architectural Design
source	Technion, Faculty of Architecture and Town Planing, Haifa
summary	The research field, focuses on a new research area of Knowledge Based Systems for Architectural Design. The research deals with concepts and tools emerging from Artificial Intelligence, Knowledge Based Systems and Expert Systems. The research is involved with the construction of a theoretical basis for the development of approaches and methods for the representation and control of design knowledge as a reasoning process. Key questions which attempt to reconsider representation and control in design are formulated. The following questions serve as a research framework out of which new approaches, methods and tools were developed. (1.)What are the existing ideas, methods and tools in Expert Systems? (2.) What are the performance characteristics of Expert Systems in Architectural Design ? (3.) What are the desired operative characteristics and interactions for Expert Systems in design ? (4.) How is it possible to formulate and apply the diverse forms of Architectural Knowledge in Expert Systems for design? (5.) What are the problems of implementation in the development of Expert Systems for design ? The state of the art in knowledge based systems is surveyed, while emphasizing the differences between conventional systems and knowledge based systems. Representation and control methods and the components of expert systems are reviewed. Expert systems for diagnosis, interpretation, planning and design are analysed with respect to their performance characteristics. Techniques and technologies of existing tools are defined. An expert system for the generation and evaluation of ill defined architectural design problems is develped. A formalization of the concept of 'design interpretation' is proposed and developed. It is applied in the process of defining and classifying the performance characteristics of expert systems for design. This concept is based upon two sets of reasoning processes: those which enable a mapping between design requirements and solution descriptions in the generation stage of design and those between solution descriptions and performance evaluation in the evaluation stage of design. On the basis of the formalization of this concept, an expert system capable of integrating various modes of performance is proposed and developed. The system functions as a 'design generator', a 'design critic', or a' design critic-generator'. These modes, which integrate generation and evaluation in the same system, operate by employing both forward chaining and backward chaining inference mechanisms. As a result of the examination of desired forms of interactions, a new approach for dual direction interpretation between graphic and verbal modes is developed. This approach reflects the importance of both graphical and verbal expression in design. The approach is based upon a simultaneous mapping between symbolic-verbal interpretation and graphic interpretation. The work presents the mapping process through the concept of design interpretation, employing geometrical knowledge, typological knowledge and evaluation knowledge. A tool which provides communication between an expert system and a graphic system was developed and is presented. The importance of such a tool in expert systems for design resides in the provision of free choice to the user for interacting with the system either graphically or verbally during the design process. An additional component in the development of knowledge-based systems for design is related to the important question of knowledge definition and the representational schemata of design knowledge. A new representational scheme for complex architectural knowledge, termed 'The generation and refinement scheme of a design prototype' is proposed and developed. Its operation as part of a total integrated design system is demonstrated. The scheme is based upon the structures of knowledge of design precedents which constitute typical situations and solutions in architectural design. This scheme provides an appropriate representation for the two types of knowledge which operate in a refinement process of a design prototype. Generative knowledge describes the solution space by predefined refinement stages; interpretive knowledge enables their selection. The examination of representational methods for the proposed scheme indicated that employing a single representational method lacked enough generalization and expressive power for the needs of the design knowledge structures. It was found that a way to represent complex structures is through the integration of multiple methods of representation, each one according to the knowledge characteristics. In order to represent the proposed scheme of design knowledge, a unique method was developed which integrates both rules and frames. The method consists of a rules-frames-rules structure for the representation of a design prototype. An approach is developed for the implementation of these concepts in an expert system for design. PRODS: A prototype based expert system shell for design is developed and demonstrated. The system consists of three basic components: a rule-based expert system shell, a frame system, and a knowledge base interface. All system interactions are controlled by the inference engine. It passes control between the rule-base and the frame-base inference engines, and provides communications between the rule-based and frame-based representations. It is suggested that expert system can interface with external CAD systems including graphics, communicating through a central representation. These concepts and developments are demonstrated in two implementations. The PREDIKT system for the preliminary design of the residential kitchen; the PROUST system for the selection and refinement of dwelling types. PREDIKT demonstrates the integration of rules and a graphical-verbal interpreter; in addition, PROUST demonstrates the significance of hybrid representation in the generation and refinement processes. The results and conlusions are summarized. Future research agenda within the field of knowledge-based systems for design is discussed, and potential research areas are defined.
series	thesis:PhD
email
last changed	2003/02/12 22:37

_id	252a
authors	Reich, Yoram
year	1988
title	Machine Learning for Expert Systems : Motivation and Techniques
source	i-iii, 51 p. : some ill Pittsburgh, PA: Engineering Design Research Center, CMU, June, 1988. EDRC 12-27-88. includes bibliography. First generation expert systems suffer from two major problems: they are brittle and their development is a long, effortful process. Few successful expert systems for real world problems have been demonstrated. In this paper, learning, the key to intelligent behavior and expertise, is described as the answer to both expert systems deficiencies. Machine learning techniques are described, with their applicability to expert systems. A framework to organize machine learning techniques is provided. The description is followed by examples taken from the structural design domain. AI / learning / expert systems / structures / techniques. 37. Requicha, Aristides A. G. 'Mathematical Models of Rigid Solid Objects -- Production Automation Project.' Rochester, NY: College of Engineering & Applied Science, University of Rochester, November, 1977. [3], 37 p. : ill.
summary	Computational models of solid objects are potentially useful in a variety of scientific and engineering fields, and in particular in the field of design and manufacturing automation for the mechanical industries. In recent years a multitude of modelling systems have been implemented both by research laboratories and commercial vendors, but little attention has been paid to the fundamental theoretical issues in geometric modelling. This has led to severe difficulties in assessing current and proposed systems, and in distinguishing essential capabilities and limitations from user conveniences and efficiency considerations. This paper seeks a sharp mathematical characterization of 'rigid solids' in a manner that is suitable for studies in design and production automation. It draws heavily on established results in modern geometry and topology. Relevant results scattered throughout the mathematical literature are placed in a coherent framework and presented in a form accessible to engineers and computer scientists. A companion paper is devoted to a discussion of representational issues in the context set forth by this paper
keywords	solid modeling, geometric modeling
series	CADline
last changed	1999/02/12 15:09

_id	aef1
authors	Rosenman, M.A., Gero, J.S. and Coyne, R.D. (et al)
year	1987
title	SOLAREXPERT : A Prototype Expert System for Passive Solar Energy Design in Housing
source	Canberra: Aust NZ Solar Energy Society, 1987. vol.II: pp. 361-370. Also published in People and Technology - Sun, Climate and Building, edited by V. Szokolay, Univ. of Queensland, Brisbane, 1988
summary	Passive solar energy design is not an exact science in which a set of analytical procedures can be followed to produce results. Rather it depends heavily on subjective parameters and experience collected over time which is heuristic by nature. At present this knowledge is available in books but while this knowledge is comprehensive, it is unstructured and not always easy to make use of. A computer-based system allows for flexible interactive dialogue and for the incorporation of analytical procedures which may be required. This paper describes work on SOLAREXPERT, a prototype expert system to aid designers in passive solar energy design for single dwellings. The system operates at a strategic level to provide basic advice on the form of construction and types of passive solar systems and at a spatial zone level to provide more detailed advice on sizes and materials. It allows for modification of the information entered so that users may explore several possibilities
keywords	applications, experience, housing, expert systems, energy, design, architecture
series	CADline
email
last changed	2003/05/17 10:17

_id	a81e
authors	Van Andel, Joost
year	1988
title	Expert Systems in Environmental Psychology
source	JAPS10 conference. 1988. includes bibliography
summary	The knowledge gathered through research in environmental psychology is not optimally used by designers and other people working in applied settings such as politicians and civil servants. In this paper a number of causes and possible improvements of this situation are discussed. Two aspects are highlighted in particular: the structure and the presentation of information. A recent development to present knowledge from environmental psychology is the use of computerized information systems or expert systems. Limitations and possibilities of expert systems in general and for environmental psychology in particular are discussed. The issue is illustrated with parts of an expert system on the design of children's play environments using the pattern language as a structure to present information efficiently and attractively to designers
keywords	expert systems, design process, psychology, patterns, languages
series	CADline
last changed	1999/02/12 15:09

_id	0ee1
authors	Veness, R. E.
year	1988
title	Bridge Builder: An Expert System for the Design of Non-Equipment Military Bridging
source	Department of Architectural Science, University of Sydney
summary	This thesis describes an expert system for the selection, design and documentation of non-equipment military bridges. The expert system uses the expert system shell BUILD. Extensive use has been made of interfacing between BUILD and Prolog and then by using Prolog's foreign language interface with Pascal procedures and the graphics interface. The expert system, which consists of rules, Pascal procedures and a graphics package, aims at: (a) the determination of the suitable bridging structure; (b) designing a bridge using material constraints; (c) producing a consistent and sound structural design for the bridge and the necessary support structures; (d) producing the necessary working drawings and a bill of materials for the solution. The graphics interface is used to display and manipulate a three dimensional model of the solution and the hardcopy output. [Unpublished. -- CADLINE has abstract only.]
keywords	Military Engineering, Expert Systems, Structures, User Interface, Applications
series	thesis:MSc
last changed	2002/12/14 19:13

_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	c57b
authors	Bier, Eric A.
year	1988
title	Snap-Dragging. Interactive Geometric design in Two and Three Dimensions
source	University of California, Berkeley
summary	Graphic artists, mechanical designers, architects, animators, authors of technical papers and others create geometric designs (illustrations and solid models) as a major part of their daily efforts. Some part of this shape construction must be done with precision. For instance, certain line segments should be horizontal, parallel or congruent. In recent years, interactive computer programs have been used to speed up the production of precise geometric designs. These programs take advantage of high-speed graphics, equation solving, and computer input peripherals to reduce the time needed to describe point positions to the machine. Previous techniques include rounding the cursor to points on a rectangular grid, solving networks of constraints, and supporting step-by-step drafting-style constructions. Snap-dragging is a modification of the drafting approach that takes advantage of powerful workstations to reduce the time needed to make precise illustrations. Using a single gravity mapping, a cursor can be snapped to either points, lines or surface. The gravity algorithm achieves good performance by computing intersection points on the fly. To aid precise construction, a set of lines, circles, planes, and spheres, called alignment objects, are constructed by the system at a set of slopes, angles, and distances specified by the user. These alignments objects are constructed at each vertex or edge that the user has declared to be hot (of interest). Vertices and edges can also be made hot by the system through the action of an automatic hotness rule. When snap-dragging is used, shapes can often be constructed using a few more keystrokes than would be needed to sketch them freehand. Objects can be edited at arbitrary orientations and sizes. The number of primitive operations is small, making it possible to provide keyboard combinations for quickly activating most of these operations. The user interface works nearly identically in two or three dimensions. In three dimensions, snap-dragging works with a two-dimensional pointing device in a single perspective view.
series	thesis:PhD
email
last changed	2003/02/12 22:37

_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	67ac
authors	Koivunen, Marja-Riitta and Mantyla, Martti
year	1988
title	Hut Windows : An Improved Architecture for a User Interface Management System
source	IEEE Computer Graphics and Applications. January, 1988. vol. 8: pp. 43-52 : ill. includes bibliography
summary	The design of Hut Windows, a user interface management system intended for applications in mechanical CAD, is the subject of this article. Hut Windows features a three-layered internal architecture, where the presentation, dialogue- control, and application processing layers are clearly separated from each other. This leads to increased simplicity and flexibility in user interface design over the more traditional situation where all of these layers are closely coupled
keywords	user interface, CAD, windowing, mechanical engineering
series	CADline
last changed	2003/06/02 13:58

_id	98bd
authors	Pea, R.
year	1993
title	Practices of Distributed Intelligence and Designs for Education
source	Distributed Cognitions, edited by G. Salomon. New York, NY: CambridgeUniversity Press
summary	v Knowledge is commonly socially constructed, through collaborative efforts... v Intelligence may also be distributed for use in designed artifacts as diverse as physical tools, representations such as diagrams, and computer-user interfaces to complex tasks. v Leont'ev 1978 for activity theory that argues forcibly for the centrality of people-in-action, activity systems, as units of analysis for deepening our understanding of thinking. v Intelligence is distributed: the resources that shape and enable activity are distributed across people, environments, and situations. v Intelligence is accomplished rather than possessed. v Affordance refers to the perceived and actual properties of a thing, primarily those functional properties that determine how the thing could possibly be used. v Norman 1988 on design and psychology - the psychology of everyday things" v We deploy effort-saving strategies in recognition of their cognitive economy and diminished opportunity for error. v The affordances of artifacts may be more or less difficult to convey to novice users of these artifacts in the activities to which they contribute distributed intelligence. v Starts with Norman's seven stages of action Ø Forming a goal; an intention § Task desire - clear goal and intention - an action and a means § Mapping desire - unable to map goal back to action § Circumstantial desire - no specific goal or intention - opportunistic approach to potential new goal § Habitual desire - familiar course of action - rapidly cycle all seven stages of action v Differentiates inscriptional systems from representational or symbol systems because inscriptional systems are completely external, while representational or symbol systems have been used in cognitive science as mental constructs. v The situated properties of everyday cognition are highly inventive in exploiting features of the physical and social situation as resources for performing a task, thereby avoiding the need for mental symbol manipulations unless they are required by that task. v Explicit recognition of the intelligence represented and representable in design, specifically in designed artifacts that play important roles in human activities. v Once intelligence is designed into the affordances properties of artifacts, it both guides and constrains the likely contributions of that artifact to distributed intelligence in activity. v Culturally valued designs for distributed intelligence will change over time, especially as new technology becomes associated with a task domain. v If we treat distributed intelligence in action as the scientific unit of analysis for research and theory on learning and reasoning... Ø What is distributed? Ø What constraints govern the dynamics of such distributions in different time scales? Ø Through what reconfigurations of distributed intelligence might the performance of an activity system improve over time? v Intelligence is manifest in activity and distributed in nature. v Intelligent activities ...in the real world... are often collaborative, depend on resources beyond an individual's long-term memory, and require the use of information-handling tools... v Wartofsky 1979 - the artifact is to cultural evolution what the gene is to biological evolution - the vehicle of information across generations. v Systems of activity - involving persons, environment, tools - become the locus of developmental investigation. v Disagrees with Salomon et al.'s entity-oriented approach - a language of containers holding things. v Human cognition aspires to efficiency in distributing intelligence - across individuals, environment, external symbolic representations, tools, and artifacts - as a means of coping with the complexity of activities we often cal "mental." "
series	other
last changed	2003/04/23 15:14

_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	2622
authors	Schmitt, G.
year	1988
title	Expert Systems and Interactive Fractal Generators in Design and Evaluation
source	CAAD futures ‘87 [Conference Proceedings / ISBN 0-444-42916-6] Eindhoven (The Netherlands), 20-22 May 1987, pp. 91-106
summary	Microcomputer based interactive programmable drafting programs and analysis packages are setting new standards for design support, systems in architectural offices. These programs allow the representation and performance simulation of design proposals with one tool, but they lack the ability to represent knowledge concerning relations between design and artifact. While they can expediate the traditional design and analysis process, they do not fundamentally improve it. We shall describe three computationally related approaches which could be a step towards a necessary paradigm change in developing design software. These approaches deal with expert design generators and evaluators, function oriented programming, and fractal design machines.
series	CAAD Futures
email
last changed	2003/05/16 20:58

_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

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