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	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	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	e115
authors	Pipes, Alan (Ed.)
year	1986
title	Computer-Aided Architectural Design Futures [Conference Proceedings]
source	International Conference on Computer-Aided Architectural Design / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, 245 p.
summary	Computer-Aided Architectural Design Futures was conceived late one evening in the bar of the Metropole Hotel in Brighton, UK. Those present - veterans of a hundred and one CAD conferences - were bemoaning the degree to which big business was taking over the conference scene: exhibiting was replacing conferring, selling was replacing thinking, products were replacing ideas. Wouldn't it be nice, we agreed, to get back to an 'academic' conference which would take stock of current developments in CAAD and attempt to anticipate the direction of future developments and their impact on architectural practice, on the building industry and on the quality of the built environment? Four major themes are explored in CAAD Futures: (1) Systematic design; (2) Drawing and visualization; (3) Artificial intelligence and knowledge engineering; (4) Implications for practice. // Stimulus papers on these four themes were circulated prior to the Conference, and the conference papers themselves elaborated the issues raised in the stimulus papers in such a way as to encourage discussion. The resulting book, we believe, will be a major reference text for students, researchers and practitioners.
series	CAAD Futures
last changed	1999/04/03 17:58

_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	c5af
authors	Bobrow, Daniel G. and Stefik, Mark J.
year	1986
title	Perspective on Artificial Intelligence Programming
source	Science. February, 1986. vol. 231: pp. 951-956
summary	Programming systems for artificial intelligence application use specialized languages, environments, and knowledge-based tools to reduce the complexity of the programming task. Language style based on procedure, objects logic rules, and constraints reflect different models for organizing programs and facilitate program evaluation and understandability. To make programming easier, multiple styles can be integrated as sublanguages in programming environment. Programming environments provide tools that analyze programs and create informative displays of their structure. Programs can be modified by direct interaction with these displays. These tools and languages are helping computer scientists to regain a sense of control over systems that have become increasingly complex
keywords	programming, AI
series	CADline
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	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	6d7a
authors	Oksala, T.
year	1986
title	About the Mathematics of Knowledge-Based Design
doi	https://doi.org/10.52842/conf.ecaade.1986.244
source	Teaching and Research Experience with CAAD [4th eCAADe Conference Proceedings] Rome (Italy) 11-13 September 1986, pp. 244-252
summary	The aim of this paper is to enlighten the role of mathematics in architectural planning with the view of CAD-teaching. First attention is focussed on the general development in planning methodology and technology. Planning mathematics provides for the basic tools to support mastering this development. Finally the common possibilities of exact methods and CAD-technology are characterized.
series	eCAADe
last changed	2022/06/07 08:00

_id	ddss9846
id	ddss9846
authors	Rigatti, Decio
year	1998
title	Rubem Berta Housing Estate: Order and Structure, Designand Use
source	Timmermans, Harry (Ed.), Fourth Design and Decision Support Systems in Architecture and Urban Planning Maastricht, the Netherlands), ISBN 90-6814-081-7, July 26-29, 1998
summary	The main goal of this paper is to investigate, through some space configurational based tools, a quite common phenomenon found in many different locations in Brazil, concerning the process of urban changes individually introduced by dwellers of public housing estates. A significant number of housing estates, particularly those designed according to rationalist concepts, seem to be unable to support space related social requirements and are then widely transformed when compared to the original layouts. Beyond the quantitative features, the morphological changes that take place in those housing estates mean a fundamental new approach to understand how completely new urban structures can arisefrom the space produced by a comprehensive urban design, took as a starting point for the transformations made by the dwellers of those settlements. As a case study is analysed the Rubem Berta Housing Estate which was built in Porto Alegre/RS, Brazil, for 20,000 people in the late 70’s. Since the begining of its occupation in 1986 and the invasion that took place in 1987, the urban transformations there have never stopped. It’s possible to realize that the dwellers individually use some constant physical rules to define the new settlement which are very similar within the estate itself and, at the same time, very similar to those found in other transformed housing estates of this sort. The physical rules introduced change the features of the entire settlement in two different levels: a) locally, through the transformations introduced in order to solve individual needs; b) globally, the local rules of physical transformations produce a new overall structure for the whole urban complex. The knowledge of this process makes it possible to bring to the surface of architectural theory some generic configurational codes that can be used as a tool for designing public housing estates in Brazil.
series	DDSS
last changed	2003/08/07 16:36

_id	04dd
authors	Zozaya-Gorostiza and Hendrickson, Carlos and Chris
year	1986
title	A Network Representation and Algorithm for Task Planning
source	23 p. : ill Pittsburgh, PA: Engineering Design Research Center CMU, December, 1986. EDRC-12-08-87. includes bibliography.
summary	An activity planning algorithm based on a network representations of conditions and actions is presented. The algorithm performs backward expansions on each desired condition in order to express them as a combination of initial conditions and actions. A global problem network of actions and conditions is used to represent the history of successful conditions expansions. This representation maintains consistency and improves the efficiency of search procedure. Interpretation of this problem network leads to an actions network from which feasible plans are directly obtained. The network algorithm was implemented in LISP and is applied here to solve blockworld problems similar to those found in the artificial intelligence planning literature. However, the algorithm and the network representation are general and intended to be used as an analytical tool in planning systems that formulate sequences of multiple actions
keywords	algorithms, planning, networks, representation, AI
series	CADline
last changed	2003/06/02 13:58

_id	eb7a
authors	Porada, Mikhael
year	1999
title	Virtual Analogy and Architecture
doi	https://doi.org/10.52842/conf.ecaade.1999.069
source	Architectural Computing from Turing to 2000 [eCAADe Conference Proceedings / ISBN 0-9523687-5-7] Liverpool (UK) 15-17 September 1999, pp. 69-73
summary	Our fashion of thought is dialogic in its way to use simultaneously logic- mathematics and analogical approaches (Morin, 1986). The analogy works as well at the level of the unconscious by the construction of an analogon that permits us to recognise a face between thousand of others, despite changes intervened in time; as consciously where by an effort of constructive analogy, we establish bridges between different events or domains giving to the design a new lighting that puts it on the way to a solution. For this reason visual approach acquires a great importance in the establishment of similitude in conception. Many testimonies of scientists, philosophers, artists confirm this observation about their creative work, while underlining the danger of no founded analogies. In current life, analogy brings a support of likeness to the daily conversations, and the possibility to advance in the dialogue by a chaining of analogies having for objective to strengthen the speech.
series	eCAADe
email
last changed	2022/06/07 08:00

_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	2b3c
authors	Carrara, G. and Novembri, G.
year	1986
title	KAAD - Knowledge-based Assistance for Architectural Design
doi	https://doi.org/10.52842/conf.ecaade.1986.202
source	Teaching and Research Experience with CAAD [4th eCAADe Conference Proceedings] Rome (Italy) 11-13 September 1986, pp. 202-212
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	6916
authors	Gasparski, W.
year	1986
title	Design Methodology: How I Understand and Develop it
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 16-27
summary	The term 'methodology' is sometimes given two diametrically opposed meanings, well characterized by Mark Blaug in the preface of a very informative book devoted to the methodology of economics. This is also the case with the methodology of design. One can find studies in which 'the methodology of design' is simply a method or methods of design, given a fancy name to make it or them appear more scientific. Authors of such studies should not confuse their readers by taking methodological studies to mean technicalities of design or demanding that their interpretation and assessment of so-called 'practical applicability' should follow this criterion. The methodology of design - as we understand it has parallels in the methodology of Blaug's economics, the philosophy of practical science, the applied sciences or the sciences of artificial objects or artefacts. Understood this way, the methodology of design is neither the method of practising design nor an instruction for its use but a theoretical reflection - in the meaning given to methodology by the philosophy of science - of design. In this connection a study of the methodology of design should be provided with the subtitle, 'How researchers of practical sciences and designers understand the concept of changes'.
series	CAAD Futures
last changed	1999/04/03 17:58

_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	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
doi	https://doi.org/10.52842/conf.acadia.1986.204
source	ACADIA Workshop ‘86 Proceedings - Houston (Texas - USA) 24-26 October 1986, pp. 204-215
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	0e5e
authors	Kociolek, A.
year	1986
title	CAD in Polish Building
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 235-245
summary	There is little CAAD in Polish architectural design offices, and only recently have practising architects discovered the computer. On the other hand, CAAD has been used for some time in research and development based at universities or in large design organizations. This chapter gives a broad picture of the computerization of building design in Poland, a complex process which concerns planning and financing, hardware, software, CAD practice, standardization, training, education, etc. Here architectural applications are treated on an equal basis, together with other applications representing design disciplines involved in design, such as structural and mechanical engineering. The underlying philosophy of this chapter is a belief that proper and well-balanced computerization of design in building which leaves creative work to human beings should result in better design and eventually in improvements in the built environment. Therefore integration of the design process in building seems more important for design practice than attempts to replace an architect by a computer, although the intellectual attraction of this problem is recognized.
series	CAAD Futures
last changed	1999/04/03 17:58

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