Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	c27d
authors	Flemming, U., Coyne, R.F. and Glavin, T.J. (et al)
year	1986
title	ROOS1 -- Version One of a Generative Expert System for the Design of Building Layouts
source	17 p. : ill. Pittsburgh: Engineering Design Research Center, Carnegie Mellon University, September, 1986
summary	ROOS1 is a generative expert system for the design of building layouts. The system is intended to complement human designers' performance through (a) its ability to systematically search for alternative solutions with promising trade-offs; and (b) its ability to take a broad range of design concerns into account. Work on the system provides insights into the applicability of Artificial Intelligence techniques to space planning and building design in general. The system is based on a general generate-and-test paradigm. Its main components are a generator, a tester and a control strategy (which is to be expanded later into a genuine planner). The generator is restricted to the allocation of rectangles. The spatial relations above, below, to the left and the right are defined for pairs of objects in a layout and serve as basic design variables which define differences between solutions and govern the enumeration of alternatives. Within the class of layouts it is able to produce, the generator is completely general and able to generate all realizable sets of spatial relations for a given number of objects. In contrast, the tester is domain-specific and incorporates knowledge about the quality of layouts in a specific domain. The system can be applied to various domains by running it with the appropriate tester and, possibly, the appropriate control strategy. The control strategy itself mediates between planner and tester and, when expanded into a planner, is able to streamline the search for alternatives. The system will go through a sequence of versions with increasing complexity. Each version will have a conceptually clean and clear architecture, and it is the authors' intention to evaluate each architecture explicitly in terms of its promises and limitations with respect to various domains. The first of these versions is described in the present paper
keywords	enumeration, combinatorics, layout, floor plans, design, methods, architecture, expert systems, planning
series	CADline
email
last changed	2003/06/02 14:41

_id	6ab7
authors	Korson, Tim and McGregor, John D.
year	1990
title	Understanding Object- Oriented : A Unifying Paradigm
source	Communications of the ACM September, 1990. vol. 33: pp. 40-60. includes bibliography.
summary	The purpose of this paper is to introduce terminology, concepts and basic techniques surrounding the object-oriented paradigm. software / OOPS / programming. 63. Koskela, Lauri, Raija Hynynen and Martti Kallavuo, et al. 'Expert Systems in Construction - Initial Experiences.' CAD and Robotics in Architecture and Construction, Proceedings of the International Joint Conference = CAO et Robotique en Architecture et B.T.P. Actes des Journees Internationales. June, 1986. Paris: Hermes, pp. 167-176. includes bibliography and abstracts in French and English. This paper describes development of expert systems for construction applications in the Laboratory of Building Economics of the Technical Research Centre of Finland. Five small expert systems are described. Experiences gained in the development work are evaluated. The future significance of expert systems for the construction industry is discussed, and an approach towards expert systems to be adopted by organizations in the construction industry is suggested
keywords	construction, applications, economics, expert systems, knowledge, evaluation, analysis
series	CADline
last changed	2003/06/02 10:24

_id	81ae
authors	Rasdorf, William J. and Parks, Linda M.
year	1986
title	Expert Systems and Engineering Design Knowledge
source	Electronic Computation Conference Proceedings (9th : 1986 : Birmingham, AL) American Society of Civil Engineers, pp. 28-42. CADLINE has abstract only.
summary	Of all the contributions of artificial intelligence (AI), expert systems show some of the most significant promise for engineering applications. An expert system provides a framework for acquiring, representing, and using knowledge about a particular application's domain. The role of knowledge in engineering design merits closer attention so that AI-oriented computer-aided engineering (CAE) systems can be developed and maintained systematically. Because 'knowledge' in engineering applications is loosely defined, it is necessary to identify knowledge types and the correlations between them before widespread engineering design applications can be achieved. The types of domain knowledge; facts, procedures, judgments, and control; differ from the classes of that knowledge; creative, innovative, and routine. Feasible engineering tasks for expert systems can be determined based on these types and classes of knowledge. Prototype expert systems have been developed for civil engineering applications to assist with interpretation, design, planning, diagnosis, control, and other engineering system functions. A number of these are described herein. Interpretive tasks require reasoning about a task in light of the knowledge available, while generative tasks create potential solutions to be tested against constraints. Only after classifying the domain by type and level can the engineer select an appropriate knowledge-engineering tool for the domain being considered. The critical features to be weighed after problem classification are knowledge representation techniques, control strategies, interface requirements, compatibility with traditional systems, and economic considerations. After considering all of these factors in the selection of the expert system took, the engineer can then proceed with the acquisition of knowledge and the construction and use of the expert system
keywords	design, knowledge, civil engineering, expert systems
series	CADline
last changed	2003/06/02 13:58

_id	088e
authors	Rosenman, M.A., Gero, J.S. and Oxman, Rivka E.
year	1986
title	An Expert System For Design Codes and Design Rules
source	Berlin: Springer-Verlag, 1986. pp. 745-758
summary	This paper demonstrates applicability of expert systems to design codes and design rules. Design codes and design rules contain knowledge based on experience of accepted practice. Design codes differ from design rules in that their knowledge is written down and available for perusal thus simplifying the knowledge acquisition process. However this knowledge is ill-structured and difficult to use for all but the experts. The paper demonstrates how the expert system shell BUILD may be used to construct expert systems for design codes and rules. Prototypical systems are shown for the Australian Model Uniform Building Code and for use in the preliminary design of kitchens. The examples show how the same knowledge may be used not only in an analysis mode but also in a design synthesis mode
keywords	expert systems, design, codes, applications
series	CADline
email
last changed	2003/06/02 14:41

_id	a980
authors	Rosenman, Michael A., Gero, John S. and Hutchinson, Peter J. (et al)
year	1986
title	Expert Systems Applications in Computer-aided Design
source	Guildford: Butterworth, 1986. pp. 218-225. Reprinted in Computer Aided Design 18(10): pp. 546-551
summary	Rule-based expert system shells are demonstrated to be useful in elementary design decision making. Two applications are presented which utilize the BUILD shell. The first is concerned with the selection and design of earth-retaining structures and makes use of passive graphics in descriptions. The second is concerned with the analysis and synthesis of kitchens and uses graphics to allow the user to interact with the system. Such systems are useful when the range of options is small
keywords	applications, CAD, expert systems, design process, architecture
series	CADline
email
last changed	2003/06/02 13:58

_id	6002
authors	Barduzzi, Ondina and Pascolo, Carlo
year	1986
title	CAD System (Computer Aided Design) for the Planning of the Territory, with Reference to the Automatical Estimate of Works of Urbanization
source	Teaching and Research Experience with CAAD [4th eCAADe Conference Proceedings] Rome (Italy) 11-13 September 1986, pp. 167-179
doi	https://doi.org/10.52842/conf.ecaade.1986.167
summary	Any applied research, no matter what discipline is concerned, needs affined and suitable tools; as regards the studies in the field of architecture and planning, the use of automatic systems of analysis, data ordering and comparison is of particular interest. The quickness of operations by means of computers and the corresponding graphical representation gives new possibilities for scientific work, once impossible, not certainly because of conceptual limits, but practically, for the limits of available tools. It is the wideness of applications of computers to be pointed out, for although studied for scientific reasons, their practical usefulness is often enormous. This has been generally verified. It guilts in particular for the CAD System, proposed and explained in this paper. The practical utility this and other systems from the same field have for the public administration, contractors and consultants is well known and therefore not necessary to be described further. The use of such systems is particularly convenient in those sectors where the graphical representation is the basic part of the production process.
series	eCAADe
last changed	2022/06/07 07:54

_id	a6cd
authors	Salvemini, Mauro
year	1986
title	Automatic Methods of Data Presentation for Planning Analysis and Urbanistic Applications
source	Teaching and Research Experience with CAAD [4th eCAADe Conference Proceedings] Rome (Italy) 11-13 September 1986, pp. 275-284
doi	https://doi.org/10.52842/conf.ecaade.1986.275
summary	Urbanistics and land analysis on different scales both have a basic need: processing an ever increasing amount of data and numerical information. This might seem extremely easy to handle especially where we have computer at our disposal, but unfortunately that is not true. The great wealth of data and information now available means that on one hand an unarrestable process is set in motion whereby more and more data are required but the analysis and consultation of this data becomes longer, more complex and laborious as the amount of data increases. There is also the danger that data produces more data and gives way to a process which can be endless. The planner must also make quick decisions on what is happening and use several target analyses based on a vast quantity of data which he must process with the automatic system available. There must always be strict compatibility between the available data processing system and the quantity of data. The representation of data in image form is an important aid in carrying out correct analyses as well as in decision making .Basically it is a question of making synthetic, decisional use of information contained in raw data. Systems which can process data visually are practically indispensable in urbanistics.
series	eCAADe
last changed	2022/06/07 07:56

_id	452c
authors	Vanier, D. J. and Worling, Jamie
year	1986
title	Three-dimensional Visualization: A Case Study
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 92-102
summary	Three-dimensional computer visualization has intrigued both building designers and computer scientists for decades. Research and conference papers present an extensive list of existing and potential uses for threedimensional geometric data for the building industry (Baer et al., 1979). Early studies on visualization include urban planning (Rogers, 1980), treeshading simulation (Schiler and Greenberg, 1980), sun studies (Anon, 1984), finite element analysis (Proulx, 1983), and facade texture rendering (Nizzolese, 1980). With the advent of better interfaces, faster computer processing speeds and better application packages, there had been interest on the part of both researchers and practitioners in three-dimensional -models for energy analysis (Pittman and Greenberg, 1980), modelling with transparencies (Hebert, 1982), super-realistic rendering (Greenberg, 1984), visual impact (Bridges, 1983), interference clash checking (Trickett, 1980), and complex object visualization (Haward, 1984). The Division of Building Research is currently investigating the application of geometric modelling in the building delivery process using sophisticated software (Evans, 1985). The first stage of the project (Vanier, 1985), a feasibility study, deals with the aesthetics of the mode. It identifies two significant requirements for geometric modelling systems: the need for a comprehensive data structure and the requirement for realistic accuracies and tolerances. This chapter presents the results of the second phase of this geometric modelling project, which is the construction of 'working' and 'presentation' models for a building.
series	CAAD Futures
email
last changed	2003/05/16 20:58

_id	0f76
authors	Balachandran, M. B. and Gero, John S.
year	1986
title	Knowledge-based Design Optimization
source	IAAI'86 Conference. 1986. pp. i:4:1-14
summary	CADLINE has abstract only. Optimization is a well understood process in design domains. A designer formulates the design problem as a single criterion or multicriteria optimization problem and then selects an appropriate optimization algorithm to search for the optimal values for the design variables. The formulation and algorithm selection procedures have been considered to be activities which relied on substantive human knowledge. This paper describes a computer system, OPTIMA, which formulates design optimization problems from a pseudo-English description into canonical algebraic expressions. It then recognizes the formulation and selects appropriate algorithm(s) for their solutions. Finally, it runs the selected algorithm(s) and sends the results to the original descriptions. Areas of expert knowledge involved in carrying out the above tasks are identified. Such knowledge is explicitly encoded in the systems. The basic philosophy and key features of the system are described and are illustrated by examples
keywords	algorithms, expert systems, knowledge base, design, optimization, structures, engineering
series	CADline
email
last changed	2003/06/02 13:58

_id	e220
authors	Balachandran, M.B. and Gero, John S.
year	1986
title	Formulating and Recognizing Engineering Optimization Problems
source	Aus. Conf Mechs. Struct. and Mats (10th : 1986 : Adelaide) edited by G. Sved. pp. 223-228. CADLINE has abstract only.
summary	In applying optimization methodology to engineering design, a considerable amount of knowledge is utilized to construct and solve mathematical design models. However, computer based systems to assist this process have concentrated mainly on the numeric computational aspects of the process. This paper outlines a computer system which uses a knowledge-based systems approach to formulate and recognize design optimization problems. Areas of expert knowledge involved in mathematical design modeling and optimization are identified. Such knowledge is encoded explicitly in the system. An example is presented
keywords	knowledge base, systems, engineering, design, mathematics, modeling, structures
series	CADline
email
last changed	2003/06/02 13:58

_id	6643
authors	Carrara, Gianfranco and Novembri, Gabriele
year	1986
title	Expert System for Building Design
source	Congress of the International Council for Building Research, Studies and Documentation (10th : 1986 : Washington). vol. 2: pp. 651-658. includes bibliography. -- abstract also in French
summary	At the CABD LAB at the University of Rome, an interactive expert system for architecture is being implemented to supervise building design at every stage of development. The system operates by checking the consistency of design choices against given sets of constraints, and by automatically checking the design process. It is therefore an innovation with respect to current architectural software developed as specific design aids. The system is based on a general representation of building objects (from components to the whole building) by means of semantic nets and a set of inferential procedures. The general representation is developed by making explicit the relational structures according to which architects organize their knowledge about building objects. To do this, the `Frame' formalism is used: this is a knowledge representation technique used in the field of artificial intelligence. It is then shown that such an expert CAAD system is a general purpose tool for architectural design, enabling architects to assess any constraint and/or building attribute by means of a declarative method, which in no way affects their own specific design methodologies
keywords	semantic networks, representation, constraints, expert systems, CAD, building, design process, knowledge, frames
series	CADline
last changed	2003/06/02 13:58

_id	aa60
authors	Christiansson, Per
year	1986
title	Properties of Future Knowledge Based Systems : The Interactive Consultation System Example
source	computer Aided Architectural Design - Developments in Education and Practice. 1986. 14 p. : ill. includes bibliography
summary	An introduction to knowledge based systems is presented to point out possibilities and limitations of the new software and hardware technology now beginning to be available. A pilot study on the use of an expert system shell (the ES/P Advisor), is briefly discussed. A part of the Swedish concrete building code was implemented in the expert system shell to demonstrate the use of an interactive consultation system. Ideas on how compact video-discs can be used in this type of systems are also put forward
keywords	knowledge base, systems, expert systems, CAD, media
series	CADline
last changed	1999/02/12 15:07

_id	4512
authors	Flemming, Ulrich
year	1986
title	On the Representation and Generation of Loosely-Packed Arrangements of Rectangles
source	33 p. : ill Pittsburgh: Engineering Design Research Center, CMU, September, 1986. includes bibliography.
summary	Several computer programs that enumerate rectangular dissections as solutions to certain layout problems have established a distinct paradigm for dealing with the crucial theoretical issues involved. The present paper suggests an extension of the paradigm to include `loosely-packed arrangements of rectangles,' which are of wider applicability in an architectural context. The paper introduces orthogonal structures to represent these arrangements and establishes the conditions of well-formedness for these structures. It presents a grammar to enumerate orthogonal structures and suggests that best use is made of the grammar if it is incorporated into a generative expert system, able to serve as a vehicle to discover, encode and utilize a broad range of constraints and criteria in the generation of layout alternatives
keywords	expert systems, architecture, space allocation, floor plans, rectangles, shape grammars, layout
series	CADline
email
last changed	2003/02/26 17:24

_id	8237
authors	Gero, John S. and Coyne, Richard D.
year	1986
title	Developments in Expert Systems for Design Synthesis
source	New York: 1986. pp. 193-203
summary	The applicability of expert systems to design synthesis is demonstrated. This is achieved by means of inference rules which can interpret design specifications in order to produce designs. This approach is applicable to certain classes of design problems which can be subdivided into independent subproblems. An expert system which contains knowledge about conflict resolution applicable to the more general class of design problem is demonstrated
keywords	design, expert systems, synthesis
series	CADline
email
last changed	2003/05/17 10:17

_id	40fe
authors	Gero, John S., Oxman, Rivka E. and Manago, C.
year	1986
title	Graphics and Expert Systems
source	AUSGRAPH '86 Australian Conference on Computer Graphics (4th : 1986 : Sydney). pp. 25-29 : ill. includes bibliography
summary	Expert systems are a novel software technology which aim to model the behavior and knowledge of human experts. This paper presents two modes of interaction between graphics and expert systems in the domain of computer-aided design. The first concerns the interaction between an expert system and commercial CAD systems. The second demonstrates how expert systems can control design oriented graphical representations. Examples from both modes are presented from systems developed at Sydney University
keywords	computer graphics, expert systems, CAD, architecture
series	CADline
email
last changed	2003/06/02 10:24

_id	c52d
authors	Gero, John S.
year	1986
title	An Overview of Knowledge Engineering and its Relevance to CAAD
source	Guildford: Butterworth, 1986. pp. 107-119
summary	This paper introduces the concepts of knowledge engineering, a subset of artificial intelligence. It describes means of representing and manipulating non-numeric design knowledge using symbolic inference mechanisms. It then describes a subset of knowledge engineering--expert systems. Knowledge- based systems in computer-aided architectural design are presented as a new direction for CAAD which expands the role of the computer in design. Expert systems within a CAAD environment are discussed
keywords	AI, knowledge base, design, architecture, CAD, representation, expert systems
series	CADline
email
last changed	2003/06/02 13:58

_id	0ebf
id	0ebf
authors	Hanson, N.L.R. and Radford, Antony D.
year	1986
title	On Modelling the Work of the Architect Glenn Murcutt
source	Design Computing, pp. 189-203
summary	A prototypical design grammar for a class of country houses by the Australian award-winning architect Glenn Murcutt is developed. The rules of the design grammar are executed to create a design for a country house on a real site with a real brief, in parallel with a design by Murcutt himself. Feedback from Murcutt and the differences between the designs and the reasons for them are discussed. Some conclusions are drawn on the role and assumptions of design grammars as rule- based expert systems and the qualities of design activity which cannot be modelled by such systems
keywords	expert systems, architecture, design, shape grammars, applications
series	CADline
email
last changed	2003/12/01 20:29

_id	e26f
authors	Kalay, Y. (ed.)
year	1987
title	Computability of Design
source	New York: Wiley & Sons
summary	Computer-aided design (CAD) has promised to transform the art and science of architectural design. Yet, despite some significant achievements in the past 3 decades, it has so far failed to do so. This stimulating volume, derived from a symposium held at SUNY, Buffalo in December 1986, explores the reasons why design is so difficult to support by computational means, and what can be done to alleviate this difficulty. Written by an interdisciplinary panel of experts, it presents a varied and comprehensive view of the ways creative design processes can be modelled. The contributors do not all reach the same conclusions, which makes this book lively reading. Topics are arranged into four parts: constructing models of the design process, the computational representation of design knowledge (including spatial information and implicit design intent), methods for computing the design process as a whole (including mathematical programming, expert systems, and shape grammars), and the integration of CAD with traditional design practices.
series	other
last changed	2003/04/23 15:14

_id	687b
authors	Lansdown, John
year	1986
title	Requirements for Knowledge-based Systems in Design
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 120-127
summary	Even from the comparatively small amount of work that has been done in this area it is already clear that expert systems can be of value in many architectural applications. This is particularly so in those applications involving what broadly can be called, 'classification' (such as fault diagnosis, testing for conformity with regulations and so on). What we want to look at in this chapter are some of the developments in knowledge-based systems (KBS) which will be needed in order to make them more useful in a broader application area and, especially, in creative design. At the heart of these developments will be two things: (1), more appropriate methods of representing knowledge which are as accessible to humans as they are to computers; and (2), better ways of ensuring that this knowledge can be brought to bear exactly where and when it is needed. Knowledge engineers usually call these elements, respectively, 'knowledge representation' and 'control'.
series	CAAD Futures
last changed	1999/04/03 17:58

_id	cc1a
authors	Lien, Kristian, Go Suzuki and Westerberg, Arthur W.
year	1986
title	The Role of Expert Systems Technology In Design
source	[2] 49 p. : diagrams Engineering Design Research Center, CMU, September, 1986 EDRC-06-13-86. includes bibliography.
summary	Using a scenario format, this paper first reviews the nature of chemical process design, showing that designers quickly make major decisions with minimal information and constantly revise their strategy to solve a problem. To automate this activity on a computer will require models of the process being created at several levels of abstraction as well as models that capture the beliefs of the modeler about the abilities of himself, others and the aids available and models of strategies for complex problem solving. The second section of the paper extensively reviews current expert system concepts, illustrating each of them with design examples. It is argued that expert systems are knowledge based. The authors describe many of the control strategies used in today's systems, and also consider different problem representations - rules, logic and frames - and indicate when each might be preferred. The last section presents the authors views on what will be involved in creating a future expert system for design
keywords	engineering, abstraction, expert systems, CAD, design process, representation, knowledge base, frames, control
series	CADline
last changed	2003/06/02 10:24

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