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

PDF papers
References

Hits 1 to 20 of 194

Reformat results as: short short into frame detailed detailed into frame

_id	a718
authors	Cuomo, Donna L. and Sharit, Joseph
year	1989
title	A Study of Human Performance in Computer-Aided Architectural Design
source	International Journal of Human-Computer Interaction. 1989. vol. 1: pp. 69-107 : ill. includes bibliography
summary	This paper describes the development and application of a cognitively-based performance methodology for assessing human performance on computer-aided architectural design (CAAD) tasks. Two CAAD tasks were employed that were hypothesized to be different in terms of the underlying cognitive processes required for these tasks to be performed. Methods of manipulating task complexity within each of these tasks were then developed. Six architectural graduate students were trained on a commercially available CAAD system. Each student performed the two experimental design tasks at one of three levels of complexity. The data collected included protocols, video recordings of the computer screen, and an interactive script (time-stamped record of every command input and the computers textual response). Performance measures and methods of analysis were developed which reflected the cognitive processes used by the human during design (including problem- solving techniques, planning times, heuristics employed, etc.) and the role of the computer as a design aid. The analysis techniques used included graphical techniques, Markov process analysis, protocol analysis, and error classification and analysis. The results of the study indicated that some measures more directly reflected human design activity while others more directly reflected the efficiency of interaction between the computer and the human. The discussion of the results focuses primarily on the usefulness of the various measures comprising the performance methodology, the usefulness of the tasks employed including methods for manipulating task complexity, and the effectiveness of this system as well as CAAD systems in general for aiding human design processes
keywords	protocol analysis, problem solving, planning, CAD, design process, performance, architecture
series	CADline
last changed	2003/06/02 13:58

_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	sigradi2006_e028c
id	sigradi2006_e028c
authors	Griffith, Kenfield; Sass, Larry and Michaud, Dennis
year	2006
title	A strategy for complex-curved building design:Design structure with Bi-lateral contouring as integrally connected ribs
source	SIGraDi 2006 - [Proceedings of the 10th Iberoamerican Congress of Digital Graphics] Santiago de Chile - Chile 21-23 November 2006, pp. 465-469
summary	Shapes in designs created by architects such as Gehry Partners (Shelden, 2002), Foster and Partners, and Kohn Peterson and Fox rely on computational processes for rationalizing complex geometry for building construction. Rationalization is the reduction of a complete geometric shape into discrete components. Unfortunately, for many architects the rationalization is limited reducing solid models to surfaces or data on spread sheets for contractors to follow. Rationalized models produced by the firms listed above do not offer strategies for construction or digital fabrication. For the physical production of CAD description an alternative to the rationalized description is needed. This paper examines the coupling of digital rationalization and digital fabrication with physical mockups (Rich, 1989). Our aim is to explore complex relationships found in early and mid stage design phases when digital fabrication is used to produce design outcomes. Results of our investigation will aid architects and engineers in addressing the complications found in the translation of design models embedded with precision to constructible geometries. We present an algorithmically based approach to design rationalization that supports physical production as well as surface production of desktop models. Our approach is an alternative to conventional rapid prototyping that builds objects by assembly of laterally sliced contours from a solid model. We explored an improved product description for rapid manufacture as bilateral contouring for structure and panelling for strength (Kolarevic, 2003). Infrastructure typically found within aerospace, automotive, and shipbuilding industries, bilateral contouring is an organized matrix of horizontal and vertical interlocking ribs evenly distributed along a surface. These structures are monocoque and semi-monocoque assemblies composed of structural ribs and skinning attached by rivets and adhesives. Alternative, bi-lateral contouring discussed is an interlocking matrix of plywood strips having integral joinery for assembly. Unlike traditional methods of building representations through malleable materials for creating tangible objects (Friedman, 2002), this approach constructs with the implication for building life-size solutions. Three algorithms are presented as examples of rationalized design production with physical results. The first algorithm [Figure 1] deconstructs an initial 2D curved form into ribbed slices to be assembled through integral connections constructed as part of the rib solution. The second algorithm [Figure 2] deconstructs curved forms of greater complexity. The algorithm walks along the surface extracting surface information along horizontal and vertical axes saving surface information resulting in a ribbed structure of slight double curvature. The final algorithm [Figure 3] is expressed as plug-in software for Rhino that deconstructs a design to components for assembly as rib structures. The plug-in also translates geometries to a flatten position for 2D fabrication. The software demonstrates the full scope of the research exploration. Studies published by Dodgson argued that innovation technology (IvT) (Dodgson, Gann, Salter, 2004) helped in solving projects like the Guggenheim in Bilbao, the leaning Tower of Pisa in Italy, and the Millennium Bridge in London. Similarly, the method discussed in this paper will aid in solving physical production problems with complex building forms. References Bentley, P.J. (Ed.). Evolutionary Design by Computers. Morgan Kaufman Publishers Inc. San Francisco, CA, 1-73 Celani, G, (2004) “From simple to complex: using AutoCAD to build generative design systems” in: L. Caldas and J. Duarte (org.) Implementations issues in generative design systems. First Intl. Conference on Design Computing and Cognition, July 2004 Dodgson M, Gann D.M., Salter A, (2004), “Impact of Innovation Technology on Engineering Problem Solving: Lessons from High Profile Public Projects,” Industrial Dynamics, Innovation and Development, 2004 Dristas, (2004) “Design Operators.” Thesis. Massachusetts Institute of Technology, Cambridge, MA, 2004 Friedman, M, (2002), Gehry Talks: Architecture + Practice, Universe Publishing, New York, NY, 2002 Kolarevic, B, (2003), Architecture in the Digital Age: Design and Manufacturing, Spon Press, London, UK, 2003 Opas J, Bochnick H, Tuomi J, (1994), “Manufacturability Analysis as a Part of CAD/CAM Integration”, Intelligent Systems in Design and Manufacturing, 261-292 Rudolph S, Alber R, (2002), “An Evolutionary Approach to the Inverse Problem in Rule-Based Design Representations”, Artificial Intelligence in Design ’02, 329-350 Rich M, (1989), Digital Mockup, American Institute of Aeronautics and Astronautics, Reston, VA, 1989 Schön, D., The Reflective Practitioner: How Professional Think in Action. Basic Books. 1983 Shelden, D, (2003), “Digital Surface Representation and the Constructability of Gehry’s Architecture.” Diss. Massachusetts Institute of Technology, Cambridge, MA, 2003 Smithers T, Conkie A, Doheny J, Logan B, Millington K, (1989), “Design as Intelligent Behaviour: An AI in Design Thesis Programme”, Artificial Intelligence in Design, 293-334 Smithers T, (2002), “Synthesis in Designing”, Artificial Intelligence in Design ’02, 3-24 Stiny, G, (1977), “Ice-ray: a note on the generation of Chinese lattice designs” Environmental and Planning B, volume 4, pp. 89-98
keywords	Digital fabrication; bilateral contouring; integral connection; complex-curve
series	SIGRADI
email
last changed	2016/03/10 09:52

_id	5bec
authors	Penrose, R.
year	1989
title	The Emperor's New Mind. Concerning Computers Minds, and the Laws of Physics.
source	Oxford University Press
summary	The Emperor's New Mind, physicist Roger Penrose's 1989 treatise attacking the foundations of strong artificial intelligence, is crucial for anyone interested in the history of thinking about AI and consciousness. Part survey of modern physics, part exploration of the philosophy of mind, the book is not for casual readers--though it's not overly technical, it rarely pauses to let the reader catch a breath. The overview of relativity and quantum theory, written by a master, is priceless and uncontroversial. The exploration of consciousness and AI, though, is generally considered as resting on shakier ground. Penrose claims that there is an intimate, perhaps unknowable relation between quantum effects and our thinking, and ultimately derives his anti-AI stance from his proposition that some, if not all, of our thinking is non-algorithmic. Of course, these days we believe that there are other avenues to AI than traditional algorithmic programming; while he has been accused of setting up straw robots to knock down, this accusation is unfair. Little was then known about the power of neural networks and behavior-based robotics to simulate (and, some would say, produce) intelligent problem-solving behavior. Whether these tools will lead to strong AI is ultimately a question of belief, not proof, and The Emperor's New Mind offers powerful arguments useful to believer and nonbeliever alike
series	other
last changed	2003/04/23 15:14

_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	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	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	b4c4
authors	Carrara, G., Fioravanti, A. and Novembri, G.
year	2000
title	A framework for an Architectural Collaborative Design
source	Promise and Reality: State of the Art versus State of Practice in Computing for the Design and Planning Process [18th eCAADe Conference Proceedings / ISBN 0-9523687-6-5] Weimar (Germany) 22-24 June 2000, pp. 57-60
doi	https://doi.org/10.52842/conf.ecaade.2000.057
summary	The building industry involves a larger number of disciplines, operators and professionals than other industrial processes. Its peculiarity is that the products (building objects) have a number of parts (building elements) that does not differ much from the number of classes into which building objects can be conceptually subdivided. Another important characteristic is that the building industry produces unique products (de Vries and van Zutphen, 1992). This is not an isolated situation but indeed one that is spreading also in other industrial fields. For example, production niches have proved successful in the automotive and computer industries (Carrara, Fioravanti, & Novembri, 1989). Building design is a complex multi-disciplinary process, which demands a high degree of co-ordination and co-operation among separate teams, each having its own specific knowledge and its own set of specific design tools. Establishing an environment for design tool integration is a prerequisite for network-based distributed work. It was attempted to solve the problem of efficient, user-friendly, and fast information exchange among operators by treating it simply as an exchange of data. But the failure of IGES, CGM, PHIGS confirms that data have different meanings and importance in different contexts. The STandard for Exchange of Product data, ISO 10303 Part 106 BCCM, relating to AEC field (Wix, 1997), seems to be too complex to be applied to professional studios. Moreover its structure is too deep and the conceptual classifications based on it do not allow multi-inheritance (Ekholm, 1996). From now on we shall adopt the BCCM semantic that defines the actor as "a functional participant in building construction"; and we shall define designer as "every member of the class formed by designers" (architects, engineers, town-planners, construction managers, etc.).
keywords	Architectural Design Process, Collaborative Design, Knowledge Engineering, Dynamic Object Oriented Programming
series	eCAADe
email
more	http://www.uni-weimar.de/ecaade/
last changed	2022/06/07 07:55

_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	09a5
authors	Eastman, Charles M.
year	1989
title	Building Modeling in Architectural Design
source	[8] p. : ill. Design & Computation . Los Angeles: Graduate School of Architecture and Urban Planning, UCLA, 1989? includes bibliography
summary	This paper reviews building modeling from the perspective of U.S. architectural practice. During the previous twenty years of computer-aided architectural design, the underlying paradigm has mimicked a paper-based technology. The future of design, however, is proposed to be in building modeling. A review of building modeling is provided and some prospects for architectural design, based on its concepts, are proposed
keywords	CAD, building, modeling, architecture, design
series	CADline
email
last changed	2003/05/17 10:15

_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	acadia06_079
id	acadia06_079
authors	Kumar, Shilpi
year	2006
title	Architecture and Industrial Design A Convergent Process for Design
source	Synthetic Landscapes [Proceedings of the 25th Annual Conference of the Association for Computer-Aided Design in Architecture] pp. 79-94
doi	https://doi.org/10.52842/conf.acadia.2006.079
summary	The use of technology has grown with the way design professions have evolved over time. Changing needs, desires of comfort, and perceptions of the consumers have led to a distinct improvement in the design of both product and architecture. The use of the digital media and emerging technologies has brought a dramatic change to the design process allowing us to view, feel, and mould a virtual object at every stage of design, development, and engineering. Change is often quick and easy since a virtual product does not inherently carry the biases of its physical counterpart. In order to communicate ideas across the team, digital processes are also used to bring together opinions, experiences, and perspectives. These methods encourage decision making based on information rather than prejudice or instinct. Thus, digital exchanges (technology) impact firm strategies at three levels: product, process, and administrative or support activities (Adler 1989).Digital tools for design exchange in Industrial Design (ID) began much earlier than many other professions. The profession of Architecture is also slowly moving to a similar model with digital exchange finding increasing prevalence in drawing, modeling, performance simulation, design collaboration, construction management, and building fabrication. The biggest problem is the disintegrated use of technology in the architectural profession without a strategy toward streamlining the design process from conception to fabrication. In this paper we investigate how the use of technology has evolved in the professions of Industrial Design and Architecture comparatively in their product, process, and support activities. Further, we will present a set of guidelines that will help architects in the convergence of design process, helping in a more efficient work flow with a strategic use of digital technology.
series	ACADIA
email
last changed	2022/06/07 07:52

_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	e91f
authors	Mitchell, W.J., Liggett, R.S. and Tan, M.
year	1990
title	Top-Down Knowledge-Based 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. 137-148
summary	Traditional computer drafting systems and three- dimensional geometric modeling systems work in bottom-up fashion. They provide a range of graphic primitives, such as vectors, arcs, and splines, together with operators for inserting, deleting, combining, and transforming instances of these. Thus they are conceptually very similar to word processors, with the difference that they operate on two- dimensional or three-dimensional patterns of graphic primitives rather than one-dimensional strings of characters. This sort of system is effective for input and editing of drawings or models that represent existing designs, but provides little more help than a pencil when you want to construct from scratch a drawing of some complex object such as a human figure, an automobile, or a classical column: you must depend on your own knowledge of what the pieces are and how to shape them and put them together. If you already know how to draw something then a computer drafting system will help you to do so efficiently, but if you do not know how to begin, or how to develop and refine the drawing, then the efficiency that you gain is of little practical consequence. And accelerated performance, flashier color graphics, or futuristic three-dimensional modes of interaction will not help with this problem at all. By contrast, experienced expert graphic artists and designers usually work in top-down fashion-beginning with a very schematic sketch of the whole object, then refining this, in step-by-step fashion, till the requisite level of precision and completeness is reached. For example, a figure drawing might begin as a "stick figure" schema showing lengths and angles of limbs, then be developed to show the general blocking of masses, and finally be resolved down to the finest details of contour and surface. Similarly, an architectural drawing might begin as a parti showing just a skeleton of construction lines, then be developed into a single-line floor plan, then a plan showing accurate wall thicknesses and openings, and finally a fully developed and detailed drawing.
series	CAAD Futures
email
last changed	2003/05/16 20:58

_id	effd
authors	Morozumi, M., Nakamura, H. and Kijima, Y.
year	1990
title	A Primitive-Instancing Interactive 3-D Modeling System for Spatial Design Studies
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. 457-468
summary	The authors have developed a basic, interactive, primitive-instancing 3-D modeling system (CAADF), which is based on a high-speed 3-D color graphic workstation, and have tested its potential ability to support spatial design studies in an architectural design studio. After- a review of work performed by a student with the system, this paper concludes that this system provides an attractive environment for spatial design studies which conventional CAD systems have not achieved. The interactive process of 3-D modeling in perspective or isometric view images and the dynamic viewing utility are the most successful features of the system. In contrast to those advantages, the resolution of color graphic display is a limitation of the system. The authors conclude that if sufficiently many appropriate 3-D geometric primitives are supported by a CAD system, a primitive instancing method can significantly reduce the work entailed in object modeling.
series	CAAD Futures
email
last changed	2003/05/16 20:58

_id	e324
authors	Oksala, Tarkko
year	1989
title	Typological Knowledge in Computer-Aided Housing Design -- Chapter 6
source	Helsinki, Finland: the Finish Academy of Technology, 1989. No. 92: pp. 49-60 : ill. includes bibliography
summary	This paper considers logical aspects in the knowledge and rule based approach to housing planning and design. The generation problem in housing design is formulated and some experimental work in the field is discussed. Logical methods in knowledge-based generation are introduced as a frame for various production situation. Formation of typical compositions is discussed as a basis for more advanced design. Generation of typological classes and mastering of individual solutions by means of sets of predicates are used to form knowledge-bases for elementary housing solutions. The possibilities of sentenial calculi are characterized in order to allow reconstruction of tradition-guided expert know how. Finally some desirable characteristics of computer aided housing design systems are illustrated
keywords	housing, knowledge base, design, shape grammars, synthesis, floor plans, layout
series	CADline
last changed	1999/02/12 15:09

_id	8d9d
authors	Tascini, Guido and Puliti, Paolo
year	1989
title	Automatic Recognition of Graphic Documentation in Building Design
source	CAAD: Education - Research and Practice [eCAADe Conference Proceedings / ISBN 87-982875-2-4] Aarhus (Denmark) 21-23 September 1989, pp. 7.6.1-7.6.6
doi	https://doi.org/10.52842/conf.ecaade.1989.x.l6t
summary	Automatic image recognition by means of Artificial Intelligence techniques poses some unsolved problems but it can be viable in technical drawing because standards allow the problem to be managed in terms of knowledge. The paper deals with the feasibility of a knowledge-based design. A semantic network is employed to model knowledge and an expectation-driven recognition strategy is used.
series	eCAADe
last changed	2022/06/07 07:50

_id	abdb
authors	Wood, D.J., Brown, A.G.P. and Brown, G.Z.
year	1989
title	A Sunlight Design Tool
source	CAAD: Education - Research and Practice [eCAADe Conference Proceedings / ISBN 87-982875-2-4] Aarhus (Denmark) 21-23 September 1989, pp. 9.3.1-9.3.7
doi	https://doi.org/10.52842/conf.ecaade.1989.x.q6i
summary	Computer-based techniques for Environmental design tend to be analytical. They are aimed at the engineer who takes a previously designed building and then analyses the environmental performance of the building so as to be able to give performance requirements for servicing plant. Thus the building has been designed by an architect using experience and some broad background knowledge of environmental performance, but it is usually not until the analysis stage is reached that the building's environmental performance is accurately assessed. A sunlight design program (application) has been written to address this problem. This program is aimed at the designer and should allow them to assess quickly the sunlight characteristics of' their building. The intention has been to produce a tool which is easy to understand and use: a tool which is interactive and in which data can be changed easily. Thus the tool can be used: to check the effect of design changes on sunlight performance. The tool is meant to the both an aid to design itself and to the understanding of the environmental performance of buildings. This paper describes the application and the use of it by architectural students. We describe the application, assess it and evaluate its educational value by comparing students' estimations of sunlight performance in their own buildings with performance predicted by it. We look at how students interact with the program to modify their design in response to this interaction and report on their evaluation of the application during a controlled exercise.
keywords	Design Tools, Sunlight, Design Education
series	eCAADe
email
last changed	2022/06/07 07:50

_id	4bf3
authors	Blinn, James F.
year	1989
title	Optimal Tubes
source	IEEE Computer Graphics and Applications. September, 1989. vol. 9: pp. 8-13 : ill. (some col.)
summary	The author discusses how to cut down the number of polygons required to model and render the Voyager spacecraft. The geometric problem is to find the tangent lines from a point to a circle. There are two ways to go about solving this, one using garden-variety analytical geometry and the other using high tech homogeneous coordinates. The author in this column discusses the simple way
keywords	programming, geometry, algorithms, computer graphics, techniques
series	CADline
last changed	2003/06/02 13:58

_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

For more results click below: