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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	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	882b
authors	Rosenman, M.A., Manago, C. and Gero, J.S.
year	1986
title	A Model- based Expert System Shell
source	1986. pp. c:1:15
summary	Rule-based expert systems, despite having demonstrated their usefulness in many circumstances, have been widely attacked for the shallowness of their knowledge. They have no knowledge about the knowledge which they possess and therefore can only be used in a very rigid manner. This paper shows that this meta-knowledge can be extracted from the rule base of an expert system and by producing a model of the artifact(s) described within, extend the functionality of the overall system. One of the benefits of this extended functionality is the ability of the model-based expert system to interface with external systems such as existing CAD systems. This paper describes the development of a general model-based expert system developed in the Department of Architectural Science, University of Sydney. The utility of the approach is shown in an example of the system interfacing with a commercially available CAD system. The CAD system is used to define the features of a building and a rule base dealing with some aspects of building regulations is applied to interpret the database produced by the CAD system
keywords	expert systems, tools, CAD
series	CADline
email
last changed	2003/06/02 14:41

_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	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	678e
authors	Aish, Robert
year	1986
title	Three-dimensional Input and Visualization
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 68-84
summary	The aim of this chapter is to investigate techniques by which man-computer interaction could be improved, specifically in the context of architectural applications of CAD. In this application the object being designed is often an assembly of defined components. Even if the building is not actually fabricated from such components, it is usually conceptualized in these terms. In a conventional graphics- based CAD system these components are usually represented by graphical icons which are displayed on the graphics screen and arranged by the user. The system described here consists of three- dimensional modelling elements which the user physically assembles to form his design. Unlike conventional architectural models which are static (i.e. cannot be changed by the users) and passive (i.e. cannot be read by a CAD system), this model is both 'user generated' and 'machine readable'. The user can create, edit and view the model by simple, natural modelling activities and without the need to learn complex operating commands often associated with CAD systems. In particular, the user can view the model, altering his viewpoint and focus of attention in a completely natural way. Conventional computer graphics within an associated CAD system are used to represent the detailed geometry which the different three-dimensional icons may represent. In addition, computer graphics are also used to present the output of the performance attributes of the objects being modelled. In the architectural application described in this chapter an energy- balance evaluation is displayed for a building designed using the modelling device. While this system is not intended to offer a completely free-form input facility it can be considered to be a specialist man-machine interface of particular relevance to architects or engineers.
series	CAAD Futures
email
last changed	2003/11/21 15:15

_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	b25c
authors	Bergeson, Donald E. and Cetin, Randal F.
year	1986
title	ADAM - Architectural Design Applications Model
source	ACADIA Workshop ‘86 Proceedings - Houston (Texas - USA) 24-26 October 1986, pp. 37-54
doi	https://doi.org/10.52842/conf.acadia.1986.037
summary	This paper will describe ADAM, a project to explore the potential for interfacing independent graphics software for the purpose of developing a microcomputer based design system. This system will be implemented in three undergraduate design studios at the University of Illinois (Urbana-Champaign) School of Architecture. The three design studios are part of an experimental project to determine the usefulness of computers in the architectural design curriculum. The concept used throughout the design of this system is: "make use of what already exists, but use it smoothly together in such a way that the management system is totally invisible to the user." Many low- end quality graphics software packages are commercially available. Each has the capacity to address some aspect of the architectural design process, none will do it all . The problem is a lack of compatibility between software. ADAM is a management system designed to invisibly control and interface the use of an assembly of graphics programs and data base management systems to achieve compatibility. Because of these compatible interfaces, new and varied design tools can be created from existing software..
series	ACADIA
last changed	2022/06/07 07:54

_id	2b3c
authors	Carrara, G. and Novembri, G.
year	1986
title	KAAD - Knowledge-based Assistance for Architectural Design
source	Teaching and Research Experience with CAAD [4th eCAADe Conference Proceedings] Rome (Italy) 11-13 September 1986, pp. 202-212
doi	https://doi.org/10.52842/conf.ecaade.1986.202
summary	The research being conducted at the CABD LAB at the Department of Building and Environmental Control Technologies is geared to the production of an Expert System for architectural design, which is able to perform interactive design tasks and help to provide accurate and complete description of the buildings in question. The Expert System will control the design process, continually ensuring consistency between the definitions of the designer and a given set of constraints. Accordingly, the System will be able to determine the effects of of definition, performing the choices taken at different stages necessary calculations and checks. The System is based on a general representation of the building objects, from individual components to the whole building defined in terms of a number of hierarchical, topological and functional relational structures resulting from earlier research conducted into the automatic management of architectural design since 1975.
series	eCAADe
last changed	2022/06/07 07:54

_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	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	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	682d
authors	Kim, Uk
year	1986
title	Model for an Integrated Design Evaluation System using Knowledge Bases
source	ACADIA Workshop ‘86 Proceedings - Houston (Texas - USA) 24-26 October 1986, pp. 204-215
doi	https://doi.org/10.52842/conf.acadia.1986.204
summary	Computer-aided architectural design (CAAD) systems need to be integrated so that one unified system can generate and do various analysis and evaluation of building models. A data system can not solve this problem because all design concepts can not be stored in the database before the design is completed. As design stage proceeds, design concept and necessary information for analysis and evaluation become complex and detailed. In order to accommodate increasing entities and new relationships between them, knowledge-based systems are integrated into the database of building models. frame structure and production rules are adopted to represent knowledge about the database, and to represent evaluation rules respectively. The system is implemented in Prolog on an Apollo workstation.
series	ACADIA
last changed	2022/06/07 07:52

_id	a48f
authors	Krishnan, D. and Patnaik, L.M.
year	1986
title	GEODERM : Geometric Shape Design System Using an Entity-Relationship Model
source	Computer Aided Design. May, 1986. vol. 18: pp. 207-218 : ill. includes bibliography and 7 appendixes
summary	GEODERM, a microcomputer-based solid modeler which incorporates the parametric object model, is discussed. The entity-relationship model, which is used to describe the conceptual schema of the geometric database, is also presented. Three of the four modules of GEODERM, which have been implemented are described in some detail. They are the Solid Definition Language (SDL), the Solid Manipulation Language (SML) and the User-System Interface
keywords	CAD, solid modeling, relational database, geometric modeling,parametrization
series	CADline
last changed	2003/06/02 13:58

_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

_id	29c2
authors	Ozel, Filiz
year	1991
title	An Intelligent Simulation Approach in Simulating Dynamic Processes in Architectural Environments
source	Computer Aided Architectural Design Futures: Education, Research, Applications [CAAD Futures ‘91 Conference Proceedings / ISBN 3-528-08821-4] Zürich (Switzerland), July 1991, pp. 177-190
summary	The implications of object-oriented data models and rule-based reasoning systems is being researched in a wide variety of application areas ranging from VLSI circuit design (Afsannanesh et al 1990) to architectural environments (Coyne et al 1990). The potential of this approach in the development of discrete event simulations is also being scrutinized (Birtwistle et al 1986). Such computer models are usually called "expert simulations" or "intelligent simulations". Typically rule-basing in such models allows the definition of intelligent-objects that can reason about the simulated dynamic processes through an inferencing system. The major advantage of this approach over traditional simulation languages is its ability to provide direct reference to real world objects and processes. The simulation of dynamic processes in architectural environments poses an additional Problem of resolving the interaction of architectural objects with other objects such as humans, water, smoke etc., depending on the process simulated. Object-oriented approach promises potential in solving this specific problem. The first part of this paper addresses expert simulation approach within the context of architectural settings, then the second part summarizes work done in the application of such an approach to an emergency egress simulation.
series	CAAD Futures
last changed	1999/04/07 12:03

_id	012b
authors	Radford, Antony D. and Mitchell, J.R.
year	1986
title	Automated Architectural Detailing: a Knowledge Based Approach,
source	1986. vol. 2: pp. 737-745
summary	The working detail in architecture is the means by which an architect describes to a builder how parts of a building are to be fashioned and assembled. The approach to automated architectural detailing described is based on the encoding of the appropriate knowledge in production rules in generative expert systems. An example of such a system for the automation of eaves detailing is presented. The system is written in Prolog with the graphics in Fortran
keywords	expert systems, knowledge base, architecture, detailing, automation, design, synthesis, applications
series	CADline
last changed	2003/06/02 13:58

_id	2071
authors	Radford, Antony D.
year	1986
title	Style in Knowledge-based Systems for Architecture
source	1986. pp.i:3:1-9
summary	The role of style in mapping between design intentions and design forms in knowledge-based. A particular generative expert system in architecture is discussed with some examples
keywords	synthesis, style, architecture, knowledge base, expert systems
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	cc5a
authors	Rasdorf, William J. and Wang, TsoJen E.
year	1986
title	Expert System Integrity Maintenance for the Use of Engineering Data
source	Computing in Civil Engineering Conference Proceedings (4th : 1986 : Boston, MA). American Society of Civil Engineers, pp. 654-668. CADLINE has abstract only
summary	This paper describes a mechanism that enables one to automatically monitor and evaluate the use of engineering design data. The framework, associated with a relational database management system, combines a database with a set of constraints on the use of engineering data. This requires a database that stores all of the data normally associated with engineering design as well as all of the domain-dependent constraints imposed upon the use of the design data. Such a framework has been successfully constructed and is described in this paper. An example, based on constraints extracted from the AISC Specification, is presented and the performance of the framework is discussed. The proposed framework resides between a DBMS and its users and serves as an experienced expert consultant to the users. It embodies the knowledge of the specific domain of interest; in this case, allowable stresses in steel members. Whenever a user retrieves data from the database, the mechanism is activated. It interprets data request, applies the appropriate constraints, and provides the correct data. Its understanding of the semantics of both the data request and its own constraints insures the validity of data it selects to return to the user. All previous database integrity research concentrated on maintaining the integrity of the stored data, i.e., on guaranteeing the integrity of any static state of the database. This paper advocates a mechanism for checking data being retrieved from the database as well as for checking data being inserted into the database. It deals, therefore, with the correctness of data being selected for use
keywords	information, civil engineering, expert systems, relational database
series	CADline
last changed	2003/06/02 13:58

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