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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	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	a6f1
authors	Bridges, A.H.
year	1986
title	Any Progress in Systematic Design?
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 5-15
summary	In order to discuss this question it is necessary to reflect awhile on design methods in general. The usual categorization discusses 'generations' of design methods, but Levy (1981) proposes an alternative approach. He identifies five paradigm shifts during the course of the twentieth century which have influenced design methods debate. The first paradigm shift was achieved by 1920, when concern with industrial arts could be seen to have replaced concern with craftsmanship. The second shift, occurring in the early 1930s, resulted in the conception of a design profession. The third happened in the 1950s, when the design methods debate emerged; the fourth took place around 1970 and saw the establishment of 'design research'. Now, in the 1980s, we are going through the fifth paradigm shift, associated with the adoption of a holistic approach to design theory and with the emergence of the concept of design ideology. A major point in Levy's paper was the observation that most of these paradigm shifts were associated with radical social reforms or political upheavals. For instance, we may associate concern about public participation with the 1970s shift and the possible use (or misuse) of knowledge, information and power with the 1980s shift. What has emerged, however, from the work of colleagues engaged since the 1970s in attempting to underpin the practice of design with a coherent body of design theory is increasing evidence of the fundamental nature of a person's engagement with the design activity. This includes evidence of the existence of two distinctive modes of thought, one of which can be described as cognitive modelling and the other which can be described as rational thinking. Cognitive modelling is imagining, seeing in the mind's eye. Rational thinking is linguistic thinking, engaging in a form of internal debate. Cognitive modelling is externalized through action, and through the construction of external representations, especially drawings. Rational thinking is externalized through verbal language and, more formally, through mathematical and scientific notations. Cognitive modelling is analogic, presentational, holistic, integrative and based upon pattern recognition and pattern manipulation. Rational thinking is digital, sequential, analytical, explicatory and based upon categorization and logical inference. There is some relationship between the evidence for two distinctive modes of thought and the evidence of specialization in cerebral hemispheres (Cross, 1984). Design methods have tended to focus upon the rational aspects of design and have, therefore, neglected the cognitive aspects. By recognizing that there are peculiar 'designerly' ways of thinking combining both types of thought process used to perceive, construct and comprehend design representations mentally and then transform them into an external manifestation current work in design theory is promising at last to have some relevance to design practice.
series	CAAD Futures
email
last changed	2003/11/21 15:16

_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	8503
authors	Coyne, Richard D. and Gero, John S.
year	1986
title	Semantics and the Organisation of Knowledge in Design
source	Design Computing. 1986. vol. 1: pp. 68-89 : ill. includes bibliography
summary	The linguistic paradigm of design is considered. The idea of meta-languages is developed as a means of generating designs that are imbued with semantic content. The formulation of meta-languages therefore becomes a way of organizing knowledge about design. The usefulness of these ideas is demonstrated by means of programs developed in Prolog
keywords	design, knowledge, semantics
series	CADline
email
last changed	2003/05/17 10:17

_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	ecc2
authors	Gero, John S. and Balachandran, M. B.
year	1986
title	Knowledge and Design Decision Processes
source	Berlin: Springer-Verlag, 1986. pp. 343- 352
summary	This paper describes how knowledge engineering techniques can be employed within optimization design decision processes. It commences with a brief discussion about multicriteria design optimization prior to elaborating the use of knowledge within this decision process. Four areas are briefly described-- knowledge as a control mechanism in the generation of the Pareto optimal set, knowledge needed to select alternate generation processes, knowledge which can be induced from the Pareto optimal set, and knowledge needed to recognize optimization models. A system which implements these concepts is presented
keywords	design process, knowledge, representation, optimization, decision making, multicriteria
series	CADline
email
last changed	2003/06/02 10:24

_id	8db7
authors	Gero, John S., Radford, Antony D. and Rosenman, Michael A. (et al)
year	1986
title	Knowledge-based Building Design
source	CIB 86, Advanced Building Technology, Proceedings. 1986. vol. 1: pp. 93-102
summary	CADLINE has abstract only. The use of the right knowledge depends not only on its availability but also on the designer recognizing that it is needed. The great majority of failures in building design and construction come from the non-application of existing, recorded knowledge; the designer either could not find the right information, or never recognized that the existing basis for making design decisions was inadequate in a new context. This paper describes some work towards the development of knowledge-based computer-aided design tools in which the knowledge is explicit, explained and open to modification. The philosophy behind the work is that design is almost always better if it is based on better knowledge, and that knowledge should be linked as closely as possible to the design activity. Rather than rely on a theoretical discussion, the authors make some brief statements about the nature of such knowledge-based systems and then give some working examples from the Architectural Computing Unit in the University of Sydney
keywords	building, knowledge base, design, architecture, CAD
series	CADline
email
last changed	2003/06/02 13:58

_id	c898
authors	Gero, John S.
year	1986
title	An Overview of Knowledge Engineering and its Relevance to CAAD
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 107-119
summary	Computer-aided architectural design (CAAD) has come to mean a number of often disparate activities. These can be placed into one of two categories: using the computer as a drafting and, to a lesser extent, modelling system; and using it as a design medium. The distinction between the two categories is often blurred. Using the computer as a drafting and modelling tool relies on computing notions concerned with representing objects and structures numerically and with ideas of computer programs as procedural algorithms. Similar notions underly the use of computers as a design medium. We shall return to these later. Clearly, all computer programs contain knowledge, whether methodological knowledge about processes or knowledge about structural relationships in models or databases. However, this knowledge is so intertwined with the procedural representation within the program that it can no longer be seen or found. Architecture is concerned with much more than numerical descriptions of buildings. It is concerned with concepts, ideas, judgement and experience. All these appear to be outside the realm of traditional computing. Yet architects discoursing use models of buildings largely unrelated to either numerical descriptions or procedural representations. They make use of knowledge - about objects, events and processes - and make nonprocedural (declarative) statements that can only be described symbolically. The limits of traditional computing are the limits of traditional computer-aided design systems, namely, that it is unable directly to represent and manipulate declarative, nonalgorithmic, knowledge or to perform symbolic reasoning. Developments in artificial intelligence have opened up ways of increasing the applicability of computers by acquiring and representing knowledge in computable forms. These approaches supplement rather than supplant existing uses of computers. They begin to allow the explicit representations of human knowledge. The remainder of this chapter provides a brief introduction to this field and describes, through applications, its relevance to computer- aided architectural design.
series	CAAD Futures
email
last changed	2003/05/16 20:58

_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	2363
authors	Gross, Mark Donald
year	1986
title	Design as exploring constraints
source	Massachusetts Institute of Technology, Dept. of Architecture
summary	A theory of designing is proposed, developed, and illustrated with examples from the domain of physical form. Designing is seen as the exploration of alternative sets of constraints and of the regions of alternative solutions they bound. Designers with different objectives reach different solutions within the same set of constraints, as do designers with the same objectives operating under different constraints. Constraints represent design rules, relations, conventions, and natural laws to be maintained. Some constraints and objectives are given at the outset of a design but many more are adopted along the way. Varying the constraints and the objectives is part of the design process. The theory accounts for various kinds of expertise in designing: knowledge of particular constraints in a design domain; inference--calculating the consequences of design decisions; preference--using objectives to guide decision-making; and partitioning--skill in dividing a large and complicated design into sets of simpler pieces, and understanding the dependencies between decisions. The ability to manage ambiguity and vagueness is an important aspect of design expertise. A computational model supporting the theory is proposed and its implementation discussed briefly. The constraint explorer, a computational environment for designing based on constraint descriptions is described. We see how the constraint explorer might be used in connection with a simple space- planning problem. The problem is taken from the procedures of the Stichting Architecten Research (S.A.R.), a specific architectural design methodology developed to help architects systematically explore layout variability in alternative floorplan designs. Finally, a selected review of related work in constraint-based programming environments, architectural design methods, and the intersection of the two fields is presented.
series	thesis:PhD
email
more	http://dmg.caup.washington.edu
last changed	2003/03/15 06:49

_id	896b
authors	Haider, Jawaid
year	1986
title	A Conceptual Framework for Communication -Instruction in Architectural Design
source	Pennsylvania State University
summary	Existing design models, it is generally acknowledged, are inadequate to deal with the complexity of contemporary situations; and an assessment of self-conscious design manifests a slow development in the power and scope of conceptualizing. The quality of knowledge and conceptual tools available to the designer largely determine his ability to conceive and accomplish; conversely, the limitations of method are reflected in design solutions. Some emerging social problem-solving paradigms, which seek to construct a cognitive psychology of problem solving, have a direct relevance to architectural design. Notwithstanding the traditional criticism and scepticism, problem solving is predicated by task environment and problem space as these have a significant impact on design synthesis. Despite a rigorous search for theoretical perspectives and methods, the concern for the quality of the physical environment persists unabated. Historically, architecture has depended on other disciplines for its theoretical insight; but the application of borrowed theories without a viable framework for translation has often resulted in misinterpretation. Aggravating the problem is the art-science controversy which has consequences for architectural practice and education. What is required is a unified approach encompassing the scientific and artistic modes of inquiry. But a unified perspective, involving vast and disparate areas of human knowledge, demands a conceptual framework for integrative learning. The proposed model of this study provides such a framework and calls for a re-examination of the conventional boundaries of design disciplines. It advocates an interdisciplinary approach and recognizes the design process as inherently a learning process; this shifts the emphasis from product to process and allows students to plan and assess their own design/learning experience. While the study focuses on substantive issues, it identifies a strategy for integrative learning applicable within the existing context of design education. Despite its untested nature, the proposed model can become a vehicle for stimulating coordination of all facets of human knowledge and experience toward creative design synthesis. It inculcates a sense of critical assessment of generative ideas by presenting a conceptually clearer picture of the design process to elicit a response to and a better understanding of the task environment of architecture.
series	thesis:PhD
email
last changed	2003/02/12 22:37

_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	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	5509
authors	Koutamanis, Alexandros
year	1990
title	Development of a computerized handbook of architectural plans
source	Delft University of Technology
summary	The dissertation investigates an approach to the development of visual / spatial computer representations for architectural purposes through the development of the computerized handbook of architectural plans (chap), a knowledge-based computer system capable of recognizing the metric properties of architectural plans. This investigation can be summarized as an introduction of computer vision to the computerization of architectural representations: chap represents an attempt to automate recognition of the most essential among conventional architectural drawings, floor plans. The system accepts as input digitized images of architectural plans and recognizes their spatial primitives (locations) and their spatial articulation on a variety of abstraction levels. The final output of chap is a description of the plan in terms of the grouping formations detected in its spatial articulation. The overall structure of the description is based on an analysis of its conformity to the formal rules of its “stylistic” context (which in the initial version of chap is classical architecture). Chapter 1 suggests that the poor performance of computerized architectural drawing and design systems is among others evidence of the necessity to computerize visual / spatial architectural representations. A recognition system such as chap offers comprehensive means for the investigation of a methodology for the development and use of such representations. Chapter 2 describes a fundamental task of chap: recognition of the position and shape of locations, the atomic parts of the description of an architectural plan in chap. This operation represents the final and most significant part of the first stage in processing an image input in machine environment. Chapter 3 moves to the next significant problem, recognition of the spatial arrangement of locations in an architectural plan, that is, recognition of grouping relationships that determine the subdivision of a plan into parts. In the absence of systematic and exhaustive typologic studies of classical architecture that would allow us to define a repertory of the location group types possible in classical architectural plans, Chapter 3 follows a bottom-up approach based on grouping relationships derived from elementary architectural knowledge and formalized with assistance from Gestalt theory and its antecedents. The grouping process described in Chapter 3 corresponds both in purpose and in structure to the derivation of a description of an image in computer vision [Marr 1982]. Chapter 4 investigates the well-formedness of the description of a classical architectural plan in an analytical manner: each relevant level (or sublevel) of the classical canon according to Tzonis & Lefaivre [1986] is transformed into a single group of criteria of well-formedness which is investigated independently. The hierarchical structure of the classical canon determines the coordination of these criteria into a sequence of cognitive filters which progressively analyses the correspondence of the descriptions derived as in Chapter 3 to the constraints of the canon. The methodology and techniques presented in the dissertation are primarily considered with respect to chap, a specific recognition system. The resulting specification of chap gives a measure of the use of such a system within the context of a computerized collection of architectural precedents and also presents several extensions to other areas of architecture. Although these extensions are not considered as verifiable claims, Chapter 5 describes some of their implications, including on the role of architectural drawing in computerized design systems, on architectural typologies, and on the nature and structure of generative systems in architecture.
series	thesis:PhD
email
last changed	2003/02/12 22:37

_id	ae5f
authors	Krishnamurti, Ramesh
year	1986
title	Modelling Design Descriptions
source	January, 1986. [5] p. : ill
summary	This paper reports some of the principles that underlie a modelling environment being developed at EdCAAD. It describes research that is part of a larger programme directed at computer-based systems that can accommodate the idiosyncratic nature of design practice, without prescriptions to the form or content of designs. That is, towards developing systems to assist in the design process by enabling designers -via conversations with the machine - to make 'reasonable' statements about design objects; to ask 'reasonable' questions about these objects; and to perform 'reasonable' tasks on these objects. Implicit in the authors' approach is the view that designing is an activity dependent on designers' perceptions of design tasks and their resolution. In the context of computer-aided design, this view of design demands that the crucial element in any machine environment lies in the ability of the machine to accept (partial) descriptions of design objects. Moreover, these descriptions can be manipulated according to some (perhaps unanticipated) criteria that the designer may wish to apply. The authors present a model for intentional descriptions of objects. That is, a description that can be structures so that it can be used to recognize objects and can be compared with other descriptions. Such a description of an object should be organized around entities with associated descriptions, it must be able to represent partial knowledge about an object, and it must accommodate multiple descriptors which can describe the object from different viewpoints. Last, but not least, these descriptions should possess a quality of 'truth' in that they reflect the (factual or otherwise) beliefs held by the designer. One way to treat these descriptions is to regard them as statements that belong to some logical framework
keywords	design process, representation, intentionallity
series	CADline
last changed	1999/02/12 15:08

_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

_id	a6f7
authors	Mitchell, J.R. and Radford, Antony D.
year	1986
title	Adding Knowledge to Computer-Aided Detailing
source	1986. pp. 31-35
summary	A knowledge based approach to computer-aided detailing is described with an example of a generative system for the design of eaves details for domestic architecture. The program uses Prolog as a knowledge base with an integrated color raster graphics display facility
keywords	knowledge base, systems, architecture, CAD, detailing
series	CADline
last changed	2003/06/02 13:58

_id	0565
authors	Oxman, Robert and Oxman, Rivka
year	1990
title	The Computability of Architectural Knowledge
source	The Electronic Design Studio: Architectural Knowledge and Media in the Computer Era [CAAD Futures ‘89 Conference Proceedings / ISBN 0-262-13254-0] Cambridge (Massachusetts / USA), 1989, pp. 171-185
summary	In an important contribution to the theoretical foundation of design computing, Mitchell noted "an increasingly urgent need to establish a demonstrably sound, comprehensive, rigorously formalized theoretical foundation upon which to base practical software development efforts" (Mitchell, 1986). In this paper we propose such a theoretical framework. A basic assumption of this work is that the advancement of design computing is dependent upon the emergence of a rigorous formulation of knowledge in design. We present a model of knowledge in architectural design which suggests a promising conceptual basis for dealing with knowledge in computer-aided design systems. We require models which can represent the formal knowledge and manipulative operations of the designer in all of their complexity-that is formal models rather than just geometric models. Shape Grammars (Stiny,1980) represent an example of such models, and constitute a relatively high level of design knowledge as compared to, for example, use of symmetry operations to generate simple formal configurations. Building upon an understanding of the classes of design knowledge as the conceptual basis for formal modeling systems may contribute a new realization of the potential of the medium for design. This will require a comprehensive approach to the definition of architectural and design knowledge. We consider here the implications of a well-defined body of architectural and design knowledge for design education and the potential mutual interaction-in a knowledge-rich environment-of design learning and CAAD learning. The computational factors connected with the representation of design knowledge and its integration in design systems are among the key problems of CAAD. Mitchell's model of knowledge in design incorporates formal knowledge in a comprehensive, multi-level, hierarchical structure in which types of knowledge are correlated with computational concepts. In the main focus of this paper we present a structured, multi-level model of design knowledge which we discuss with respect to current architectural theoretical considerations. Finally, we analyze the computational and educational relevance of such models.
series	CAAD Futures
email
last changed	2003/05/16 20:58

_id	c2dd
authors	Oxman, Robert
year	1986
title	Towards a New Pedagogy
source	Journal of Architectural Education. Summer, 1986. vol. 39: pp. 22-28 : ill. includes some bibliographical notes
summary	This paper proposes the potential of design studies as a vehicle for the transfer of what might be considered 'architectural knowledge' as compared to 'professional experience.' An analogy with language study is suggested as a means of conveying the distinction between the acquisition of general design knowledge - a knowledge base which is not domain specific - and its application in dealing with ad-hoc problems
keywords	design, knowledge acquisition, education, architecture
series	CADline
last changed	1999/02/12 15:09

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