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	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summary	Unpublished.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	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	f65d
authors	Kalisperis, L.N.
year	1988
title	A Conceptual Framework for Computing in Architectural Design
source	Pennsylvania State University
summary	A brief historical overview of architectural design reveals that there has been a slow development in the conceptualization of the scope of architectural design. Advancing our understanding of the architectural design process reveals new directions for computing in architectural design. This study proposes a conceptual framework for an integrated computing environment. Design disciplines have embarked on a rigorous search for theoretical perspectives and methods that encompass a comprehensive view of architecture. Architectural design has been seen as a sequential process similar to that of industrial design. Attempts to formalize this process based on industrial design methods solved only a fraction of the overall integration problem. The resultant models are inadequate to deal with the complexity of architectural design. Emerging social problem-solving paradigms seek to construct a cognitive psychology of problem solving and have a direct relevance to architectural design. These problem-solving activities include structured, semi-structured, and ill-defined problems, which are included to varying degrees in each problem situation across a continuum of difficulty. Problem solving in architectural design involves the determination of certain objectives and also whether or not it is possible to accomplish them. Developments in computing in architecture have paralleled developments in architectural methodologies. The application of computing in architectural design has predominantly focused only on sequential process, optimum solutions, and quantifiable tasks of the design process. Qualitative, generative, tasks of architectural design were dealt with through the introduction of paradigms from linguistics and knowledge-based systems borrowed from engineering applications. Although the application of such paradigms resulted in some success, this reductionist approach to computing in architecture fragmented its integration into the design process. What is required, therefore, is a unified approach to computing in architecture based on a holistic view of the architectural design process. The model proposed in this study provides such a conceptual framework. This model shifts the focus from product to process and views the design problem as a goal-oriented problem-solving activity that allows a design team to identify strategies and methodologies in the quest for design solutions.
series	thesis:PhD
email
last changed	2003/02/12 22:37

_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	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	6a1d
authors	Woodbury, Robert F.
year	1988
title	The knowledge based representation and manipulation of geometry
source	Carnegie Mellon University
summary	An approach to the integration of geometric information in knowledge based systems is described as an architecture for geometric reasoning. The general requirements for this integration arise from the need for rich geometry representations in engineering domains and the conflicting demands of current geometric modelling and knowledge based systems. Four concepts are used as a basis: (1) Classes of spatial sets, which act by inheritance as a means for incremental definition by specialization, (2) Features, which denote evaluated portions of a geometric model, (3) Abstractions, which provide partial representations of geometric objects, and (4) Constraints through which spatial relationships are expressed. These four concepts combine in a synergistic manner to define the complete architecture. A prototype implementation of the architecture, built using object oriented programming techniques and a boundary based solid modeller, has been achieved and demonstrated through examples in the domains of robot task planning and automotive parts design.
series	thesis:PhD
email
last changed	2003/02/12 22:37

_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	88cb
authors	Gero, John S. and Oksala, Tarkko (editors)
year	1988
title	Knowledge-Based Systems in Architecture
source	TIPS'88 - Knowledge Based Design in Architecture, Acta Polytechnica Scandinavica (1988 : Helsinki, Finland). 143 p. 1989
summary	The technology of knowledge-based systems can be found in texts on artificial intelligence. There is very little published so far on knowledge-based systems in architecture. To this end an international conference -- TIPS' 88: Knowledge-Based Design in Architecture -- was organized for August 1988 in Finland. Thirteen papers from that conference have been selected and edited for this monograph. They are grouped under five parts: Introduction; Schemas and Models; Processes and Knowledge; Modeling Buildings; and Creativity and Knowledge-Based Systems
keywords	knowledge base, architecture, representation, expert systems,building, creativity
series	CADline
email
last changed	2003/06/02 13:58

_id	cf08
authors	Blaha, Michael R., Premerlani, William J. and Rumbaugh, James E.
year	1988
title	Relational Database Design Using An Object- Oriented Methodology
source	communications of the ACM. April, 1988. vol. 31: pp. 414-427 : ill. includes a short bibliography
summary	Object-oriented concepts provide a useful abstraction for relational database design. In this article the authors present a design technique that has been used for several projects at General Electric. The methodology is intuitive, expressive, and extensible. The new approach to relational database design is based on the work of Loomis, Sha, and Rumbaugh
keywords	relational database, design, methods, objects, modeling, representation
series	CADline
last changed	2003/06/02 13:58

_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	82a7
authors	Gero, John S., Maher, Mary Lou and Zhang, W.
year	1988
title	Chunking Structural Design Knowledge as Prototypes
source	Amsterdam: CMP, 1988. pp. 3-21. includes a short bibliography
summary	The concept of a prototype as a conceptual schema for the representation of generalized design knowledge is proposed. A formal definition of prototypes is presented independent of their implementation. The paper elaborates this concept and demonstrates its applicability through an example in the domain of structural design. The example of prototype knowledge is presented for the design of rigid frames and the process of designing using prototypes is described. The advantages of this approach are presented
keywords	design, prototypes, knowledge, representation, structures
series	CADline
email
last changed	2003/06/02 13:58

_id	0833
authors	Gero, John S.
year	1988
title	Expert systems in Engineering Design : the Concept of Prototypes and their Application
source	Symposium on Knowledge Based Systems in Civil Engineering. 1988. pp. 37-45
summary	CADLINE has abstract only. This paper addresses the question of what sort of schemata do experts in engineering design use to allow the commencement and continuation of a design. It is suggested that a conceptual schema labelled prototype can be used to capture this expertise. Prototypes are generalizations at different levels of design experience and provide the bases of an approach to designing with computers. They structure design experience to make it applicable in similar situations. The paper elaborates the concept and briefly describes an application
keywords	structures, engineering, expert systems, prototypes, design, knowledge
series	CADline
email
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	0e42
authors	Rouse, W., Geddes, N. and Curry, R.
year	1998
title	An Architecture for Intelligent Interfaces: Outline of an Approach to Supporting Operators of Complex Systems Articles
source	Human-Computer Interaction 1987-1988 v.3 n.2 pp. 87-122
summary	The conceptual design of a comprehensive support system for operators of complex systems is presented. Key functions within the support system architecture include information management, error monitoring, and adaptive aiding. One of the central knowledge sources underlying this functionality is an operator model that involves a combination of algorithmic and symbolic models for assessing and predicting an operator's activities, awareness, intentions, resources, and performance. Functional block diagrams are presented for the overall architecture as well as the key elements within this architecture. A variety of difficult design issues are discussed, and ongoing efforts aimed at resolving these issues are noted.
series	other
last changed	2002/07/07 16:01

_id	c5ec
authors	Smith Shaw, Doris
year	1988
title	The Conceptual Approach to CAD Education
source	Computing in Design Education [ACADIA Conference Proceedings] Ann Arbor (Michigan / USA) 28-30 October 1988, pp. 35-45
doi	https://doi.org/10.52842/conf.acadia.1988.035
summary	Recent research at the Corps of Engineers Construction Engineering Research Laboratory (CERL) investigated embedded computer-based instruction for AutoCAD. The results of this study, which are the focus of this paper, indicated that the only factor which correlated with success in completing the final test was previous experience with another CAD system. Those who knew another CAD system had higher scores and required less than half the time to complete the lessons. Presumably their conceptual knowledge about CAD transferred to the new software environment, even though the Corps' study showed that they were initially biased against learning the new system. Such biased attitudes have been observed when users are asked to learn a second similar software of any kind. Architects who are deeply involved in computer-aided design have stated that one must learn to program the computer to build the conceptual framework for the creative process. We at CERL agree that an understanding of underlying graphics concepts is essential to the designer. Our research shows that giving students the freedom to explore an existing software program can result in the development of conceptual knowledge. Interviews also reveal that students can invent ways to meet individual objectives when "guided discovery" learning is encouraged.
series	ACADIA
last changed	2022/06/07 07:56

_id	6ca4
authors	Woodbury, Robert F. and Oppenheim, Irving R.
year	1988
title	An Approach to Geometric Reasoning
source	20 p. : ill. Pittsburgh, PA: Engineering Design Research Center, CMU, June, 1988. EDRC-48-06-88. includes bibliography
summary	An approach to the integration of geometric information in knowledge based CAD systems is described as an architecture for geometric reasoning. The general requirements for this integration arise from the need for rich geometry representations in engineering domains and the conflicting demands of current geometric modelling and knowledge based systems. Four concepts are used as a basis: (1) Classes of spatial sets, which act by inheritance as a means for incremental definition by specialization; (2) features, which denote evaluated portions of a geometric model; (3) abstractions, which provide partial representations of geometric objects; and (4) constraints through which spatial relationships are expressed. These four concepts combine in a synergistic manner to define the complete architecture. A prototype implementation of the architecture, built using object oriented programming techniques and a boundary based solid modeler, has been achieved and demonstrated. In this paper each of the concepts and their integration into a whole are described
keywords	geometric modeling, knowledge base, systems, constraints, design, knowledge, architecture, methods, reasoning, integration
series	CADline
email
last changed	2003/06/02 10:24

_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	e7a8
authors	Emde, H.
year	1988
title	Geometrical Fundamentals for Design and Visualization of Spatial Objects
source	CAAD futures ‘87 [Conference Proceedings / ISBN 0-444-42916-6] Eindhoven (The Netherlands), 20-22 May 1987, pp. 171-178
summary	Every architectural object is a 3-dimensional entity of the human environment, haptically tangible and optically visible. During the architectural process of planning every object should be designed as a body and should be visualized in pictures. Thus the parts of construction get an order in space and the steps of construction get an order in time. The ideal planning object is a simulated anticipation of the real building object, which is to be performed later on. The possibility to relate the planning object immediately to the building object relies on the fact that they both have the same "geometry" This means: both can be described in the same geometric manner. Creating and visualizing spatial objects is based on geometrical fundamentals. Theoretical knowledge and practical control of these fundamentals is essential for the faultless construction and the realistic presentation of architectural objects. Therefore they have to be taught and learned thoroughly in the course of an architectural education. Geometrical design includes the forming of object- models (geometry of body boundaries), the structuring of object-hierarchies (geometry of body combinations) and the colouring of objects. Geometrical visualization includes controlling the processes of motion, of the bodies (when moving objects) and of the center of observation (when moving subjects) as well as the representation of 3-dimensional objects in 2- dimensional pictures and sequences of pictures. All these activities of architects are instances of geometrical information processing. They can be performed with the aid of computers. As for the computer this requires suitable hardware and software, as for the architect it requires suitable knowledge and capabilities to be able to talk about and to recall the perceivable objects and processes of the design with logic abstracts (language of geometry). In contrast to logical, numerical and textual informations the geometric informations concerning spatial objects are of much higher complexity. Usually these complexes of information are absorbed, processed and transmitted by the architect in a perceptive manner. The computer support in the field of geometry assumes that the processing of perceptions of the human consciousness can be converted by the computer as a framework of logical relations. Computer aided construction and representation require both suited devices for haptical and optical communication and suitable programs in particular.
series	CAAD Futures
last changed	1999/04/03 17:58

_id	4cbb
authors	Gero, John S. (editor)
year	1988
title	Artificial Intelligence in Engineering : Design
source	465 p. Amsterdam: Elsevier/CMP, 1988. CADLINE has abstract only
summary	This volume contains the papers in the design area from the Third International Conference on Artificial Intelligence in Engineering. Design is that most fundamental but least understood of engineering activities. Most current computer- aided design systems are primarily concerned with graphical representations of objects as they are being designed. The introduction of artificial intelligence into engineering has fostered the burgeoning interest in formal methods of engineering design. These methods treat design as being modelable using reasoning processes. The papers related to design can be grouped into two categories: those primarily concerned with design knowledge in its various forms and those primarily concerned with applications in specific domains. The papers in this volume are presented under the following headings: Design Knowledge and Representation; Integrated Circuit Design; Mechanical Engineering Design; Structural Engineering Design; Simultaneous Engineering Design; Architectural Design
keywords	AI, design, engineering, knowledge, applications, architecture, CAD, CAE, integrated circuits, representation, structures, civil engineering
series	CADline
email
last changed	2003/06/02 13:58

_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

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