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	1920
authors	Riesbeck, C. and Schank, R.C.
year	1989
title	Inside Case-based Reasoning
source	Lawrence Erlbaum Associates, Hillsdale, NJ
summary	Case-based reasoning, broadly construed, is the process of solving new problems based on the solutions of similar past problems. An auto mechanic who fixes an engine by recalling another car that exhibited similar symptoms is using case-based reasoning. A lawyer who advocates a particular outcome in a trial based on legal precedents is using case-based reasoning. It has been argued that case-based reasoning is not only a powerful method for computer reasoning, but also a pervasive behavior in everyday human problem solving. Case-based reasoning (CBR) has been formalized as a four-step process:N 1. Retrieve: Given a target problem, retrieve cases from memory that are relevant to solving it. A case consists of a problem, its solution, and, typically, annotations about how the solution was derived. For example, suppose Fred wants to prepare blueberry pancakes. Being a novice cook, the most relevant experience he can recall is one in which he successfully made plain pancakes. The procedure he followed for making the plain pancakes, together with justifications for decisions made along the way, constitutes Fred's retrieved case. 2. Reuse: Map the solution from the previous case to the target problem. This may involve adapting the solution as needed to fit the new situation. In the pancake example, Fred must adapt his retrieved solution to include the addition of blueberries. 3. Revise: Having mapped the previous solution to the target situation, test the new solution in the real world (or a simulation) and, if necessary, revise. Suppose Fred adapted his pancake solution by adding blueberries to the batter. After mixing, he discovers that the batter has turned blue -- an undesired effect. This suggests the following revision: delay the addition of blueberries until after the batter has been ladled into the pan. 4. Retain: After the solution has been successfully adapted to the target problem, store the resulting experience as a new case in memory. Fred, accordingly, records his newfound procedure for making blueberry pancakes, thereby enriching his set of stored experiences, and better preparing him for future pancake-making demands. At first glance, CBR may seem similar to the rule-induction algorithmsP of machine learning.N Like a rule-induction algorithm, CBR starts with a set of cases or training examples; it forms generalizations of these examples, albeit implicit ones, by identifying commonalities between a retrieved case and the target problem. For instance, when Fred mapped his procedure for plain pancakes to blueberry pancakes, he decided to use the same basic batter and frying method, thus implicitly generalizing the set of situations under which the batter and frying method can be used. The key difference, however, between the implicit generalization in CBR and the generalization in rule induction lies in when the generalization is made. A rule-induction algorithm draws its generalizations from a set of training examples before the target problem is even known; that is, it performs eager generalization. For instance, if a rule-induction algorithm were given recipes for plain pancakes, Dutch apple pancakes, and banana pancakes as its training examples, it would have to derive, at training time, a set of general rules for making all types of pancakes. It would not be until testing time that it would be given, say, the task of cooking blueberry pancakes. The difficulty for the rule-induction algorithm is in anticipating the different directions in which it should attempt to generalize its training examples. This is in contrast to CBR, which delays (implicit) generalization of its cases until testing time -- a strategy of lazy generalization. In the pancake example, CBR has already been given the target problem of cooking blueberry pancakes; thus it can generalize its cases exactly as needed to cover this situation. CBR therefore tends to be a good approach for rich, complex domains in which there are myriad ways to generalize a case.
series	other
last changed	2003/04/23 15:14

_id	6dc2
authors	Rahman, Shama
year	1989
title	The Realities of Introducing IT/CAD in Architectural and Interior Design Education: A Case Study at the Polytechnic of North London
source	CAAD: Education - Research and Practice [eCAADe Conference Proceedings / ISBN 87-982875-2-4] Aarhus (Denmark) 21-23 September 1989, pp. 4.1.1.-4.1.9
doi	https://doi.org/10.52842/conf.ecaade.1989.x.j5h
summary	This paper is an attempt to illustrate the realities of introducing Information Technology at a school of Architecture and Interior Design. The department, under the auspicies of the Polytechnic of North London, comprises of 520 full/part time students working towards various professional and postgraduate degrees and diplomas in Architecture and Interior Design. For the last 18 months, the department has undertaken a rapid IT/CAD implementation programme. This has involved developing a strategy, formulating resource needs and implementing teaching. The strategy is based on the concept of application of IT as a tool for design and a medium for representation, management, use and exchange of design information. A course outline has been developed suggesting what could be taught and who could be taught what, how, when and for how long. At the same time, different types of teaching methods are being experimented upon. On the basis of these factors, attempts are being made to meet resource needs for software, hardware, teaching and technical support. Various issues and problems have been brought to light e.g. overcoming cost of hardware and software, lack of teaching and technical support, finding time slots in overloaded curriculums, changing existing attitudes towards IT,etc. We have approached these problems in various ways. We liaise closely with architects' offices, and try to use student skills and expertise within the polytechnic. We try to overcome time-slot problems by joint teaching and assessment with other subjects and try to integrate IT/CAD with studio-based design projects by locating computlng facilities inside studios. This paper is a story of how we have set for ourselves a path to follow. This path is by no means rigid and will continuously change with new experiences and the demands of a volatile industry. We have only just begun.
series	eCAADe
last changed	2022/06/07 07:50

_id	1a4e
authors	Goel, Ashok Kumar
year	1989
title	Integration of case-based reasoning and model-based reasoning for adaptive design problem solving
source	Ohio State University
summary	In the case-based approach to design, a novel problem is solved by adapting a design known to solve a related problem. Adapting a known design to solve a related problem by the commonly used methods of heuristic association and search, however, can be computationally expensive if the adaptation search space is not small. The adaptation space, then, needs to be decomposed into smaller and simpler spaces that can be searched more efficiently and effectively. The knowledge for decomposing the adaptation search space can be represented as a behavior-structure model that specifies how the structure of the known design results in its output behaviors. This research investigates the use of such behavior-structure models for adapting the designs of physical devices. Comprehension of how the output behaviors of a design arise from its structure is represented as a behavioral component-substance model for the design. The model explicitly specifies (i) the expected output behaviors of the design including its functions, (ii) the elementary structural and behavioral interactions between components and substances constituting the structure of the design, and (iii) the internal causal behaviors of the design that compose the elementary interactions into its output behaviors. The causal behaviors of the design, in this model, are indexed by the expected output behaviors for which they are responsible. The model aids case-based design in several ways. First, it identifies conceptual primitives for specifying the functions of designs, which are used to index the known designs stored in a case-based memory. Second, it identifies elementary types of behavior transformations and elementary types of structure modifications. Third, it provides knowledge for decomposition of the adaptation search space into smaller spaces so that the search for the needed structure modifications is localized. Fourth, it leads to a novel method for simulating the behavioral effects of structure modifications. The output and causal behaviors of the modified design, in this method, are derived by revising the output and causal behaviors of the known design. This integrative approach unifies case-based methods, associative methods, heuristic search methods, decomposition methods, and model-based methods into one architecture for adaptive design problem solving. Core portions of this approach have been implemented in an experimental design system called KRITIK.
keywords	Case Based Reasoning; Model Based Reasoning; Adaptive Design; Problem Solving
series	thesis:PhD
last changed	2003/02/12 22:37

_id	49a8
authors	McCall, R., Fischer, G. and Morch, A.
year	1990
title	Supporting Reflection-in-Action in the Janus Design Environment
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. 247-259
summary	We have developed a computer-based design aid called Janus, which is based on a model of computer-supported design that we think has significance for the future of architectural education. Janus utilizes a knowledge-based approach to link a graphic construction system to hypertext. This allows the computer to make useful comments on the solutions that students construct in a CAD-like environment. These comments contain information intended to make students think more carefully about what they are doing while they are doing it. In other words, Janus promotes what Donald Schon has called "reflection-inaction" (Schon, 1983). The Janus design environment is named for the Roman god with a pair of faces looking in opposite directions. In our case the faces correspond to complementary design activities we call construction and argumentation. Construction is the activity of graphically creating the form of the solution e.g., a building. Traditionally this has been done with tracing paper, pencils, and pens. Argumentation is the activity of reasoning about the problem and its solution. This includes such things as considering what to do next, what alternative courses of action are available, and which course of action to choose. Argumentation is mostly verbal but partly graphical.
series	CAAD Futures
last changed	1999/04/03 17:58

_id	ecaade2015_38
id	ecaade2015_38
authors	Stavrakantonaki, Marina
year	2015
title	A Framework for Input Data Processing During Building Energy Model Calibration. A Case Study
source	Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 625-634
doi	https://doi.org/10.52842/conf.ecaade.2015.1.625
wos	WOS:000372317300068
summary	Key parameter of a reasoning process supporting real time performance is the use of active heuristics that facilitate the achievement of goals in a timely manner (Dodiawala et al. 1989). A real time approach should incorporate speed, timeliness and adaptation during the execution of tasks. Speed and efficient knowledge processing are addressed for the solution of complex building engineering problems, such as the calibration of Building Energy Models (BEM) to the actual performance data. During retrofit projects, calibrated BEM models aid the design process, and provide a solid base for performative assessments. Despite the demand for building performance evaluations, BEM calibration remains a work-intensive task (Lam et al. 2014). This study proposes a time efficient framework for BEM calibration input data management based on the methodology of a blackboard artificial intelligence knowledge processing system. The resulting model was used for sequential data mining for the energy assessment during the renovation of a commercial building.
series	eCAADe
email
more	https://mh-engage.ltcc.tuwien.ac.at/engage/ui/watch.html?id=e440bdd6-7021-11e5-bdb0-00190f04dc4c
last changed	2022/06/07 07:56

_id	ee16
authors	Coyne, R.D., Newton, S. and Sudweeks, F.
year	1989
title	Modeling the Emergence of Schemas in Design Reasoning
source	Design Computing Unit, Department of Architectural and Design Science, University of Sydney, 1989. pp. 173-205. CADLINE has abstract only
summary	The authors explore how neural networks can be used to model important aspects of design reasoning: the way design involves memory; and a 'holistic' kind of reasoning by which designs appear to emerge from that memory. A simple neural network is constructed to demonstrate how information about schemas (in this case, room types) is stored implicitly after exposure to a number of examples of specific rooms. We then demonstrate how new room types emerge from this information. The paper includes a discussion of design, a discussion of schemas from a psycholinguistic perspective, a technical explanation of neural networks and the demonstration of an implemented examples
keywords	neural networks, modeling, design, reasoning, learning, knowledge acquisition, experimentation
series	CADline
email
last changed	2003/05/17 10:13

_id	68c8
authors	Flemming, U., Coyne, R. and Fenves, S. (et al.)
year	1994
title	SEED: A Software Environment to Support the Early Phases in Building Design
source	Proceeding of IKM '94, Weimar, Germany, pp. 5-10
summary	The SEED project intends to develop a software environment that supports the early phases in building design (Flemming et al., 1993). The goal is to provide support, in principle, for the preliminary design of buildings in all aspects that can gain from computer support. This includes using the computer not only for analysis and evaluation, but also more actively for the generation of designs, or more accurately, for the rapid generation of design representations. A major motivation for the development of SEED is to bring the results of two multi-generational research efforts focusing on `generative' design systems closer to practice: 1. LOOS/ABLOOS, a generative system for the synthesis of layouts of rectangles (Flemming et al., 1988; Flemming, 1989; Coyne and Flemming, 1990; Coyne, 1991); 2. GENESIS, a rule-based system that supports the generation of assemblies of 3-dimensional solids (Heisserman, 1991; Heisserman and Woodbury, 1993). The rapid generation of design representations can take advantage of special opportunities when it deals with a recurring building type, that is, a building type dealt with frequently by the users of the system. Design firms - from housing manufacturers to government agencies - accumulate considerable experience with recurring building types. But current CAD systems capture this experience and support its reuse only marginally. SEED intends to provide systematic support for the storing and retrieval of past solutions and their adaptation to similar problem situations. This motivation aligns aspects of SEED closely with current work in Artificial Intelligence that focuses on case-based design (see, for example, Kolodner, 1991; Domeshek and Kolodner, 1992; Hua et al., 1992).
series	other
email
last changed	2003/04/23 15:14

_id	424b
authors	Hammond, K.
year	1989
title	Case-Based Planning: Viewing Planning as a Memory Task
source	Boston, MA, Academic Press
summary	A case-based planner learns by correctly indexing its planning experiences in memory. The main task of the learner is to figure out which features a piece of information should be indexed under. A case-based planner learns 1) new plans; 2) the features that predict failures; 3) past repairs to faulty plans that it can reuse. This learning is accomplished by saving the different results of the planner's own experiences.
series	other
last changed	2003/04/23 15:14

_id	ed07
authors	Love, James
year	1990
title	A Case Study in Knowledge-Based System Development : Envelope Design for Reduction of Traffic Noise Transmission
source	February, 1990. 19 p. : some ill. and table. includes a bibliography
summary	Researchers have demonstrated the value of replication of research and explicit testing of concepts in artificial intelligence (Ritchie and Hanna 1989). In this study, a rule- based system was implemented as an exercise in the application of the theory and practice of knowledge-based systems development to architectural design analysis. The test domain was the selection of wall and window assemblies to provide adequate noise reduction given a set of traffic and building site conditions. This domain was chosen for two reasons: (1) considerable detailed heuristic information was available; and (2) it avoided large solutions spaces, 'errorful' and time-dependent data, and unreliable knowledge. Development of the system in conjunction with an extensive literature review revealed that publications on construction and performance of rule-based systems provided insufficient detail on key aspects of system architecture. Topics suffering from neglect or insufficiently rigorous treatment included algorithms used in automated inference, methods for selection of inference procedures, the integration of numerical and symbolic processing, the formulation of explanation mechanisms to deal with integrated numerical and symbolic processing, testing methods, and software standardization. Improving the quality and scope of knowledge in these areas is essential if expert systems are to be applied effectively in architectural design
keywords	CAD, expert systems, acoustics, applications, knowledge base, design, architecture, AI, analysis
series	CADline
last changed	1999/02/12 15:09

_id	c903
authors	Mark, Earl
year	1990
title	Case Studies in Moviemaking and Computer-Aided Design
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. 393-412
summary	A movie which is developed from site location video, sync sound, and computer graphics animation can provide a highly convincing simulation of reality. A movie that conveys a sense of the space, materials and juxtaposition of objects of a proposed architectural design provides a special kind of realism, where the representation may be of a proposed building that exists only within the mind of an architect. For an experienced architect, however, the movie may not provide a good surrogate experience for what it feels like to actually be within the architectural space. In these case studies, a few projects that combine moviemaking and computer-aided design technologies are examined. These projects were completed using a combination of resources at the MIT School of Architecture and Planning and the Harvard Graduate School of Design. The integrated use of these media is presented as conceptualized with the Electronic Design Studio, a research project that has been supported over the past five years by Project Athena at MIT. The impact of movies and computer-aided design on the perception of architectural space is also reported- based on a pilot study of twenty architectural students.
series	CAAD Futures
email
last changed	2003/05/16 20:58

_id	8bf3
authors	McCullough, M., Mitchell, W.J. and Purcell, P. (Eds.)
year	1990
title	The Electronic Design Studio: Architectural Knowledge and Media in the Computer Era [Conference Proceedings]
source	International Conference on Computer-Aided Architectural Design 1989/ ISBN 0-262-13254-0] (Massachusetts / USA), 1989, 505 p.
summary	Design is the computation of shape information that is needed to guide fabrication or construction of artifacts. But it is not so straightforward as, say, the computation of numerical information required to balance a checkbook. This is partly because algebras of shapes are not as well understood and precisely formalized as algebras of numbers, partly because the rules for carrying out shape computations tend to be fluid and ill defined and partly because the predicates that must be satisfied to achieve successful termination are often complex and difficult to specify. For centuries architects have carried out shape computations by hand, using informal procedures and the simplest of tools. Over the last two decades though, they have made increasing use of more formal procedures executed by computers. It is still too early to be sure of the gains and losses that follow from this development, but there is no doubt that it raises some challenging questions of architectural theory and some perplexing issues for those concerned with the future of architectural education. This book frames those issues and provides a diversity of perspectives on them. Its contents were initially presented at the CAAD Futures 89 Conference-an international gathering of researchers and teachers in the field of computer-aided architectural design which was jointly sponsored by the Harvard Graduate School of Design and the MIT Department of Architecture and held in Cambridge, Massachusetts, in July 1989. There are four major sections: Theoretical Foundations, Knowledge-Based Design Tools, Information Delivery Systems, and Case Studies: Electronic Media in the Design Studio. In a representative collection of current views, over thirty extensively illustrated papers discuss the experiences of universities in the USA, Europe, Japan, Israel, Canada, and Australia, articulate present theoretical and practical concerns, provide criticism of media and methods, and suggest directions for the future. Architectural educators and architects concerned with the effect of computer technology on the design process will find here an indispensable reference and a rich source of ideas. This book was itself prepared in an electronic design studio. Composition and typography, most image collection and placement, and such editing as was practical within this publishing format, were all performed digitally using Macintosh computers at the Harvard Graduate School of Design during a period of a few weeks in 1989.
series	CAAD Futures
email
last changed	2003/05/16 20:58

_id	b565
authors	Yessios, Chris I. (Ed.)
year	1989
title	New Ideas and Directions for the 1990’s [Conference Proceedings]
source	ACADIA Conference Proceedings / Gainsville (Florida - USA) 27-29 October 1989, 262 p.
doi	https://doi.org/10.52842/conf.acadia.1989
summary	About a year ago, a comment of mine to Bob Johnson that recent Acadia Conferences appeared to be bypassing some of the real issues of CAAD and that the attendants seemed to be missing the opportunity to debate and to argue, landed me a request to be the Technical Chair for this Acadia 89. In spite of an expected heavy load this past year, I could not refuse. I certainly did not realize at the time what it would take to put the technical program of this Conference together: two "calls" for papers, many- many phone calls and the gracious acceptance of three invited speakers and twelve panelists. In response to a recommendation by Pamela Bancroft, last year's Technical Chair, the first call for papers had a deadline which was by about a month earlier than it has been in recent years. This must have found our membership unprepared and generated only thirteen submissions. A second call was issued with the end of July as a deadline. It generated another eleven submissions. Out of that total of twenty-four papers, ten were selected and are presented in this Conference. The selection process was based strictly on averaging the grades given by each of the three referees who blindly reviewed each paper. The names of the reviewers have been listed earlier in this volume and I wish to take this opportunity to wholeheartedly thank them. In most cases the reviewers offered extensive comments which were returned to the authors and helped them improve their papers. Many of the papers have actually been rewritten in response to the reviewers' comments and what are included in these Proceedings are substantially improved versions of the papers originally submitted. This is the way it is supposed to be, but could not be done without the excellent response by the authors. I"hey deserve our sincere thanks. It must be noted that the reviewers were not always in agreement, which should tell us something about the diverse orientations of our members. In the case of at least three papers, one reviewer gave a 0 or 1 (very low) when another gave a 9 or 10 (very high). In these cases the third reviewer gave the deciding grade. In no case was there a need for me to break a tie. Under normal circumstances, these "controversial" papers should have gone out for another cycle of reviews. Time did not permit to do so. However, I feel confident that the papers which have been selected deserve to be heard. It may be worth speculating why it took two calls to generate only 24 submissions when last year we had 42. There are a number of factors which must have had an effect. First of all, the early deadline. Secondly, the theme of this year's Conference was more focussed than it has been in the recent past. In addition, it was quite challenging. Even though the calls also encouraged submissions in areas other than the central theme, they discouraged contributions which might be redundant with past presentations. This must have filtered out presentations about "CAD in the studio" which did not have an orientation distinctively different from what everybody else is doing. Last, but possibly the most decisive factor must have been that, this year, Acadia was in competition with the Futures Conference. It does not take much to observe that more than half of the presentations at the CAAD Futures Conference were given by active Acadia members. Acadia should by all means be delighted that the bi-annual Futures took place in the States this year, but it certainly made our organizational task harder. As a matter of fact, as a record of CAAD happenings in 1989, 1 believe the Proceedings of the two Conferences complement each other and should be read as a pair.
series	ACADIA
email
more	http://www.acadia.org
last changed	2022/06/07 07:49

_id	c3ec
authors	Coyne, Richard D. and Radford, Antony D.
year	1989
title	Knowledge-based Design Systems in Architecture : a Linguistic Perspective
source	Knowledge Based Systems in Architecture. Helsinki: Acta Polytechnica Scandinavica, 1989. pp. 27-36
summary	The separation of syntax and semantics in systems for the production of architectural designs is discussed. In producing designs we are less interested in mapping between buildings and their meaning than in mapping between an intended meaning and a design description of a kind that can be constructed, a mapping between semantic and syntactic realms. The thesis of this paper is that it is both feasible and operationally useful to separate the consideration of interpretation and syntactic generating in design. The authors first examine the possibility of operating in the syntactic realm, then the possibility of operating in the interpretative realm. Finally they examine how a design system might combine interpretative and syntactic systems
keywords	reasoning, design, CAD, architecture, knowledge base, semantics
series	CADline
email
last changed	2003/05/17 10:13

_id	abd8
authors	Gero, John S. (editor)
year	1989
title	Artificial Intelligence in Design
source	553 p. Southampton and Berlin: CMP/Springer-Verlag, 1989 CADLINE has abstract only.
summary	This volume contains the selected papers in the design stream from the Fourth International Conference on Applications of Artificial Intelligence in Engineering. The 26 papers are grouped under the following headings: Structural Design; Mechanical Design; Architectural Design; Qualitative Reasoning in Design; Design Research Groups; Constraint-Based Systems in Design; Design Modeling; and Processes in Design
keywords	AI, design, architecture, mechanical engineering, civil engineering, reasoning, modeling, constraints
series	CADline
email
last changed	2003/06/02 13:58

_id	22bd
authors	Hoffmann, C.M., Hopcroft, J.E. and Karasick, M.S.
year	1989
title	Robust Set Operations on Polyhedral Solids
source	IEEE Computer Graphics and Applications. November, 1989. vol. 9: pp. 50-59 : ill. includes bibliography
summary	The paper describes an algorithm for performing regularized Boolean operations on polyhedral solids. Robustness is achieved by adding symbolic reasoning as a supplemental step to resolve possible numerical uncertainty. Additionally, numerical redundancy and numerical computation based on derived quantities are reduced as much as possible. It also discusses the authors' experience with the implementation of the algorithm
keywords	algorithms, polyhedra, solids, representation, computational geometry, geometric modeling, boolean operations
series	CADline
last changed	2003/06/02 14:41

_id	e6f5
authors	McLaughlin, S. and Gero, John S.
year	1989
title	Requirements of a Reasoning System that Supports Creative and Innovative Design Activity
source	Knowledge Based Systems. 1989. vol.2: pp. 62-71 : ill. includes bibliography
summary	Innovative and creative design occurs when fragments of previous design episodes are retrieved and incorporated into the present design context. This paper presents an implementable approach to innovative and creative design based on notions of prototypes and instances within a dynamic memory model of episodic memory. Innovative and creative design are defined in terms of operators. The requirements of a reasoning system to support these classes of design activity are outlined. Examples of the processes are presented
keywords	design, reasoning, creativity, prototypes, architecture
series	CADline
email
last changed	2003/06/02 10:24

_id	3964
authors	Yoshikawa, H. and Gossard, D. (eds.)
year	1989
title	Intelligent CAD
source	North-Holland, Amsterdam, pp. vii-ix
summary	In this research, design process knowledge is represented at two different levels, action level and object level, corresponding to the meta-knowledge to model design behaviors and the special knowledge to model the processes in designing particular objects. A design knowledge base and database modeling language - Integrated Data Description Language (IDDL) was developed at the University of Tokyo to model both design processes and design objects. This language combines logic programming functions and object oriented programming functions into an integrated environment. Using this language, an intelligent CAD system - Intelligent Integrated Interactive CAD (IIICAD) was developed at the University of Tokyo. Contradictions of knowledge base and database are resolved using circumscription and Assumption-based Truth Maintenance System (ATMS) in this system. Many advanced knowledge modeling techniques, including Qualitative Process Theory (QPT), modal logic, default reasoning, etc., have also been introduced in the IIICAD system. The knowledge base and database representation scheme of IDDL serves as the basis in the feature-based integrated concurrent design system. In the integrated concurrent design system, a new feature modeling language was introduced. In addition to the qualitative and quantitative data/relations that were introduced in IDDL, the composing element features, data dependency relations, constraints, 2D and 3D feature geometric descriptions have also been introduced for representing product life-cycle models and their relations. Optimization functions were added to the integrated concurrent design system to identify the optimal design considering relevant life-cycle aspects.
series	other
last changed	2003/04/23 15:14

_id	0e93
authors	Af Klercker, Jonas
year	1989
title	Interactive Animation on the Macintosh II
source	CAAD: Education - Research and Practice [eCAADe Conference Proceedings / ISBN 87-982875-2-4] Aarhus (Denmark) 21-23 September 1989, pp. 9.5.1-9.5.6
doi	https://doi.org/10.52842/conf.ecaade.1989.x.a0t
summary	The efficiency of images in communication between humans has so far been used almost exclusively by TV and other mass medias. The costs have been too great to encourage the use of images in the financially restricted everyday practice of architecture. With a range of application programs for the Apple Macintosh II the vision has come close to reality. It is now possible to create guided walks with the chance to choose different routes and views in a model of buildings and surroundings in 256 colour graphics. The makers of these programs may not have foreseen this use for their products and that is why it takes quite a lot of effort to make all the necessary images. With some supplementary routines however, this will be made much easier. Animation can also be used to visualize different processes inside a building. We have been studying the working environment in mechanical industry. The goal of this project is to make communication possible between the workers at all levels of an organization in planning changes and has so far been very successful. The use of this technique is only limited by our imagination and funding. Some examples to be tested in the near future are "Escape at a fire", "Animation of a Dairy", "Traffic situations in a parking lot-, "CAD-working place" and others. One of the difficulties in interactive planning with users has been to come close enough to their reality. With animated images it is possible to visualize what is going to happen and what it is going to look like in a more understandable way. In education this must be a challenging possibility. Changes and processes are some of the most difficult subjects to describe and explain! The software used is a handful of individual programs which, thanks to the graphics standards of the Macintosh, can exchange data with each other.
series	eCAADe
email
more	http://www.caad.lth.se/
last changed	2022/06/07 07:50

_id	450c
authors	Akin, Ömer
year	1990
title	Computational Design Instruction: Toward a Pedagogy
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. 302-316
summary	The computer offers enormous potential both in and out of the classroom that is realized only in limited ways through the applications available to us today. In the early days of the computer it was generally argued that it would replace the architect. When this idea became obsolete, the prevailing opinion of proponents and opponents alike shifted to the notion of the computer as merely adding to present design capabilities. This idea is so ingrained in our thinking that we still speak of "aiding" design with computers. It is clear to those who grasp the real potential of this still new technology - as in the case of many other major technological innovations - that it continues to change the way we design, rather than to merely augment or replace human designers. In the classroom the computer has the potential to radically change three fundamental ingredients: student, instruction, and instructor. It is obvious that changes of this kind spell out a commensurate change in design pedagogy. If the computer is going to be more than a passive instrument in the design studio, then design pedagogy will have to be changed, fundamentally. While the practice of computing in the studio continues to be a significant I aspect of architectural education, articulation of viable pedagogy for use in the design studio is truly rare. In this paper the question of pedagogy in the CAD studio will be considered first. Then one particular design studio taught during Fall 1988 at Carnegie Mellon University will be presented. Finally, we shall return to issues of change in the student, instruction, and instructor, as highlighted by this particular experience.
series	CAAD Futures
email
last changed	2003/11/21 15:15

_id	235d
authors	Catalano, Fernando
year	1990
title	The Computerized Design Firm
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. 317-332
summary	This paper is not just about the future of computerized design practice. It is about what to do today in contemplation of tomorrow-the issues of computercentered practice and the courses of action open to us can be discerned by the careful observer. The realities of computerized design practice are different from the issues on which design education still fixes its attention. To educators, the present paper recommends further clinical research on computerized design firms and suggests that case studies on the matter be developed and utilized as teaching material. Research conducted by the author of this paper indicates that a new form of design firm is emerging-the computerized design firm-totally supported and augmented by the new information technology. The present paper proceeds by introducing an abridged case study of an actual totally electronic, computerized design practice. Then, the paper concentrates on modelling the computerized design firm as an intelligent system, indicating non-trivial changes in its structure and strategy brought about by the introduction of the new information technology into its operations - among other considerations, different strategies and diverse conceptions of management and workgroup roles are highlighted. In particular, this paper points out that these structural and strategic changes reflect back on the technology of information with pressures to redirect present emphasis on the individual designer, working alone in an isolated workstation, to a more realistic conception of the designer as a member of an electronic workgroup. Finally, the paper underlines that this non-trivial conception demands that new hardware and software be developed to meet the needs of the electronic workgroup - which raises issues of human-machine interface. Further, it raises the key issues of how to represent and expose knowledge to users in intelligent information - sharing systems, designed to include not only good user interfaces for supporting problem-solving activities of individuals, but also good organizational interfaces for supporting the problem-solving activities of groups. The paper closes by charting promising directions for further research and with a few remarks about the computerized design firm's (near) future.
series	CAAD Futures
last changed	1999/04/03 17:58

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