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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
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_id	06ee
authors	Gero, John S. (editor)
year	1988
title	Artificial Intelligence in Engineering : Diagnosis and Learning
source	421 p. Amsterdam: Elsevier/CMP, 1988. CADLINE has abstract only
summary	This volume contains the papers in the diagnosis and learning areas from the Third International Conference on Artificial Intelligence in Engineering. Diagnosis and learning are two of the important areas of artificial intelligence of interest to engineering. Diagnosis derives its name from the early systems work related to diagnosing medical disorders. In engineering it has come to mean both diagnosis (in the medical sense) and evaluation or analysis (in the engineering sense). The use of symbolic reasoning has substantially expanded the functions and roles of diagnosis in engineering. Learning is a novel area of computer application in engineering and has no counterpart in traditional engineering but is becoming an important area. The papers in this volume are under the following headings: Diagnosis from Structure and Behavior; Integrated Diagnostic Reasoning; Diagnosis as Control; Diagnosis Processes and Environments; Learning and Tutoring
keywords	AI, learning, engineering, evaluation, analysis, applications
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	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	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	436b
authors	Gero, John S. (editor)
year	1988
title	Artificial Intelligence in Engineering : Robotics and Processes
source	403 p. Amsterdam: Elsevier/CMP, 1988. CADLINE has abstract only
summary	This volume contains the papers in the robotics and processes areas from the Third International Conference on Artificial Intelligence in Engineering. Robotics has the potential to change the physical face of engineering and has no counterpart in traditional engineering. It requires the integration of numerous disparate aspects of engineering. There is a fundamental requirement for geometric and spatial reasoning of a qualitative kind. A variety of other processes in engineering are being examined through the artificial intelligence lens. The material collected under the process rubric demonstrates both the benefits and potential of utilizing this approach. The papers are presented under the following headings: Robotics; Geometric and Spatial Reasoning; Interpretation Processes; Reasoning Processes; Planning and Scheduling Processes; Interfaces
keywords	AI, robotics, reasoning, planning, user interface, engineering, construction
series	CADline
email
last changed	2003/06/02 13:58

_id	8385
authors	Holtz, Neal M. and Rasdorf, William J.
year	1988
title	An Evaluation of Programming Languages and Language Features for Engineering Software Development
source	International Journal of Engineering with Computers. Springer-Verlag, 1988. vol. 3: pp. 183-199
summary	Also published as 'Procedural Programming Languages for the Development of CAD and CAE Systems Software,' in the proceedings of ASME International Conference on Computers in Engineering (1987 : New York, NY). The scope of engineering software has increased dramatically in the past decade. In its early years, most engineering applications were concerned solely with solving difficult numerical problems, and little attention was paid to man- machine interaction, to data management, or to integrated software systems. Now computers solve a much wider variety of problems, including those in which numerical computations are less predominant. In addition, completely new areas of engineering applications such as artificial intelligence have recently emerged. It is well recognized that the particular programming language used to develop an engineering application can dramatically affect the development cost, operating cost. reliability, and usability of the resulting software. With the increase in the variety, functionality, and complexity of engineering software, with its more widespread use, and with its increasing importance, more attention must be paid to programming language suitability so that rational decisions regarding language selection may be made. It is important that professional engineers be aware of the issues addressed in this paper, for it is they who must design, acquire, and use applications software, as well as occasionally develop or manage its development. This paper addresses the need for engineers to possess a working knowledge of the fundamentals of computer programming languages. In pursuit of this, the paper briefly reviews the history of four well known programming languages. It then attempts to identify and to look critically at the attributes of programming languages that significantly affect the production of engineering software. The four procedural programming languages chosen for review are those intended for scientific and general purpose programming, FORTRAN 77, C, Pascal, and Modula-2. These languages are compared and some general observations are made. As it is felt important that professional engineers should be able to make informed decisions about programming language selection, the emphasis throughout this paper is on a methodology of evaluation of programming languages. Choosing an appropriate language can be a complex task and many factors must be considered. Consequently, fundamentals are stressed
keywords	programming, engineering, languages, software, management, evaluation, FORTRAN, C, PASCAL, MODULA-2, CAD, CAE
series	CADline
last changed	2003/06/02 13:58

_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	696c
authors	Beheshti, M. and Monroy, M.
year	1988
title	Requirements for Developing an Information System for Architecture
source	CAAD futures ‘87 [Conference Proceedings / ISBN 0-444-42916-6] Eindhoven (The Netherlands), 20-22 May 1987, pp. 149-170
summary	This paper discusses possibilities of developing new tools for architectural design. It argues that architects should meet the challenge of information technology and computer-based design techniques. One such attempt has been the first phase of the development of an architectural design information system (ADIS), also an architectural design decision support system. The system should benefit from the developments of the artificial intelligence to enable the architect to have access to information required to carry out design work. In other words: the system functions as a huge on-line electronic library of architecture, containing up-to-date architectural design information, literature, documents, etc. At the same time, the system offers necessary design aids such as computer programs for design process, drawing programs, evaluation programs, cost calculation programs, etc. The system also provides data communication between the architect and members of the design coalition team. This is found to be of vital importance in the architectural design process, because it can enable the architect to fit in changes, brought about in the project by different parties. Furthermore, they will be able, to oversee promptly the consequences of changes or decisions in a comprehensive manner. The system will offer advantages over the more commonly applied microcomputer based CAAD and IGDM (integrated graphics database management) systems, or even larger systems available to an architect. Computer programs as well as hardware change rapidly and become obsolete. Therefore, unrelenting investment pressure to up-date both software and hardware exists. The financial burden of this is heavy, in particular for smaller architectural practices (for instance an architect working for himself or herself and usually with few or no permanent staff). ADIS, as an on-line architectural design aid, is constantly up-dated by its own organisation. This task will be co-ordinated by the ADIS data- base administrator (DBA). The processing possibilities of the system are faster, therefore more complex processing tasks can be handled. Complicated large graphic data files, can be easily retrieved and manipulated by ADIS, a large system. In addition, the cost of an on-line system will be much less than any other system. The system is based on one model of the architectural design process, but will eventually contain a variety of design models, as it develops. The development of the system will be an evolutionary process, making use of its users' feed-back system. ADIS is seen as a step towards full automation of architectural design practices. Apart from being an architectural design support system, ADIS will assist the architect in his/her administrative and organisational activities.
series	CAAD Futures
last changed	2003/11/21 15:16

_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	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	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	8a1b
authors	Mackenzie, C.A.
year	1987
title	Inducing Relational Grammars From Design Interpretations
source	AI'87 : Proceeding of the Australian Joint Artificial Intelligence Conference. 1987. pp. 207-220 CADLINE has abstract only.
summary	--- Also published in Artificial Intelligence Developments and Applications edited by J. S. Gero and R. Stanton, North-Holland Pub. 1988. The combination of a heuristic driven search and a tree systems inference technique to induce context-free design grammars is presented. This is achieved by searching for the most useful interpretations of each design in a sample set and discovering regularities in their tree systems representation. The knowledge induced is represented as an accepting tree systems automation and generative grammar. Examples from the domain of architectural design are given
keywords	heuristics, inference, search, shape grammars, knowledge, representation, architecture
series	CADline
last changed	2003/06/02 13:58

_id	037b
authors	Shapiro, Stuart C. and Rapaport, William J.
year	1988
title	Models and Minds : A Reply to Barnden
source	NAIC-Northeast Artificial Intelligence Consortium, March, 1988. 13 p. : ill. includes bibliography
summary	Cognitive agents, whether human or computer, that engage in natural language discourse and that have beliefs about the beliefs of other cognitive agents must be able to represent objects the way they believe them to be and the way they believe others believe them to be. They must be able to represent other cognitive agents both as objects of beliefs and as agents of beliefs. They must be able to represent their own beliefs, and they must be able to represent beliefs as objects of beliefs. These requirements raise questions about the number of tokens of the belief representation language needed to represent believers and propositions in their normal roles and in their roles as objects of beliefs. This paper explicate the relations among nodes, mental tokens, concepts, actual objects, concepts in the belief spaces of an agent and the agent's model of other agents, concepts of other cognitive agents, and propositions. The discussion is structured as a response to objections raised by another researcher to the authors' earlier papers, and as a demonstration of how they handle an example he claimed the authors could no do
keywords	cognition, AI, natural languages, knowledge, representation, semantic networks
series	CADline
last changed	2003/06/02 10:24

_id	fbe9
authors	Sharit, Joseph and Cuomo, Donna L.
year	1988
title	A Cognitively Based Methodology for Evaluating Human Performance in the Computer-Aided Design Task Domain
source	Behaviour and Information Technology 1988 v.7 n.4 p.373-397
summary	This article describes a methodology for evaluating human performance in the computer aided design (CAD) task environment. The methodology is based primarily on cognitive theoretic frameworks that are consistent with processes presumed to underlie human design activities. The motivation for its development stems from rapid software and hardware advances in CAD systems and our relative lack of understanding of how these enhancements affect human design performance for (1) fundamentally different types of tasks and (2) different levels of complexity for a particular task. This methodology is currently being applied to computer aided architectural design, an area where artificial intelligence (AI), enhanced geometric modelling and other system features are being debated in terms of their usefulness in aiding the human's design activities.
series	other
last changed	2002/07/07 16:01

_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	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	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	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	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	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

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