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	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	1076
authors	Gero, John S. and Saunders, Robert
year	2000
title	Constructed Representations and Their Functions in Computational Models of Designing
doi	https://doi.org/10.52842/conf.caadria.2000.215
source	CAADRIA 2000 [Proceedings of the Fifth Conference on Computer Aided Architectural Design Research in Asia / ISBN 981-04-2491-4] Singapore 18-19 May 2000, pp. 215-224
summary	This paper re-examines the conclusions made by Schön and Wiggins in 1992 that computers were unable to reproduce processes crucial to designing. We propose that recent developments in artificial intelligence and design computing put us in a position where we can begin to computationally model designing as conceived by Schön and Wiggins. We present a computational model of designing using situated processes that construct representations. We show how constructed representations support computational processes that model the different kinds of seeing reported in designing. We also present recently developed computational processes that can identify unexpected consequences of design actions using adaptive novelty detection.
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	6f8a
authors	Pittioni, Gernot
year	1992
title	Concepts of CAAD-Instruction
doi	https://doi.org/10.52842/conf.ecaade.1992.363
source	CAAD Instruction: The New Teaching of an Architect? [eCAADe Conference Proceedings] Barcelona (Spain) 12-14 November 1992, pp. 363-376
summary	Today we can look back on several years of data processing support in architecture. When computer aided architectural design - CAAD - entered the field there was a lot of utter confusion in the beginning, a lot more than usually in other more technical application-fields of CAD. The architect is a very special CAD-user, as he is a very special member of all those other very analytical and scientific faculties around. There is a lot of tradition involved, tradition that has got its roots far back in medieval and classic periods and is rich of art and creativity and intuition. Mostly lots more of this than scientific analysis, exact research, and similar stuff. We could spot a large number of architects who would have been horrified when they are confronted with the analytic research of the very basic problem as how architects are designing - the methods, the procedures and the ways of thinking. And there CAAD was entering the architects' studios. No question that this caused a lot of trouble. CAD in architecture is a very provoking subject as the new tool is going to gain ground against the tradition of centuries of handmade architectural designs and drawings. And there we don't even touch the future aspects of the computer's architectural design support - what about the imminent threat of computer support in the holy domain of architectural creativity and intuition. What about the uneasy idea of CAAD in connection with artificial intelligence? The problem of CAAD-education has been largely neglected through a number of years. If there existed a certain horror looking at the mere idea of CAD-support in architecture, horror became to outrage, when university education was discussed. In our days we can stay a good deal more relaxed, when we speak of CAAD education - we not only got used to it, we are convinced, that the whole subject is of high importance.
keywords	Concepts of Education
series	eCAADe
email
last changed	2022/06/07 08:00

_id	a3f5
authors	Zandi-Nia, Abolfazl
year	1992
title	Topgene: An artificial Intelligence Approach to a Design Process
source	Delft University of Technology
summary	This work deals with two architectural design (AD) problems at the topological level and in presence of the social norms community, privacy, circulation-cost, and intervening opportunity. The first problem concerns generating a design with respect to a set of above mentioned norms, and the second problem requires evaluation of existing designs with respect to the same set of norms. Both problems are based on the structural-behavioral relationship in buildings. This work has challenged above problems in the following senses: (1) A working system, called TOPGENE (The TOpological Pattern GENErator) has been developed. (2) Both problems may be vague and may lack enough information in their statement. For example, an AD in the presence of the social norms requires the degrees of interactions between the location pairs in the building. This information is not always implicitly available, and must be explicated from the design data. (3) An AD problem at topological level is intractable with no fast and efficient algorithm for its solution. To reduce the search efforts in the process of design generation, TOPGENE uses a heuristic hill climbing strategy that takes advantage of domain specific rules of thumbs to choose a path in the search space of a design. (4) TOPGENE uses the Q-analysis method for explication of hidden information, also hierarchical clustering of location-pairs with respect to their flow generation potential as a prerequisite information for the heuristic reasoning process. (5) To deal with a design of a building at topological level TOPGENE takes advantage of existing graph algorithms such as path-finding and planarity testing during its reasoning process. This work also presents a new efficient algorithm for keeping track of distances in a growing graph. (6) This work also presents a neural net implementation of a special case of the design generation problem. This approach is based on the Hopfield model of neural networks. The result of this approach has been used test TOPGENE approach in generating designs. A comparison of these two approaches shows that the neural network provides mathematically more optimal designs, while TOPGENE produces more realistic designs. These two systems may be integrated to create a hybrid system.
series	thesis:PhD
last changed	2003/02/12 22:37

_id	e7c8
authors	Kalisperis, Loukas N., Steinman, Mitch and Summers, Luis H.
year	1992
title	Design Knowledge, Environmental Complexity in Nonorthogonal Space
source	New York: John Wiley & Sons, 1992. pp. 273-291 : ill. includes bibliography
summary	Mechanization and industrialization of society has resulted in most people spending the greater part of their lives in enclosed environments. Optimal design of indoor artificial climates is therefore of increasing importance. Wherever artificial climates are created for human occupation, the aim is that the environment be designed so that individuals are in thermal comfort. Current design methodologies for radiant panel heating systems do not adequately account for the complexities of human thermal comfort, because they monitor air temperature alone and do not account for thermal neutrality in complex enclosures. Thermal comfort for a person is defined as that condition of mind which expresses satisfaction with the thermal environment. Thermal comfort is dependent on Mean Radiant Temperature and Operative Temperature among other factors. In designing artificial climates for human occupancy the interaction of the human with the heated surfaces as well the surface-to-surface heat exchange must be accounted for. Early work in the area provided an elaborate and difficult method for calculating radiant heat exchange for simplistic and orthogonal enclosures. A new improved method developed by the authors for designing radiant panel heating systems based on human thermal comfort and mean radiant temperature is presented. Through automation and elaboration this method overcomes the limitations of the early work. The design procedure accounts for human thermal comfort in nonorthogonal as well as orthogonal spaces based on mean radiant temperature prediction. The limitation of simplistic orthogonal geometries has been overcome with the introduction of the MRT-Correction method and inclined surface-to-person shape factor methodology. The new design method increases the accuracy of calculation and prediction of human thermal comfort and will allow designers to simulate complex enclosures utilizing the latest design knowledge of radiant heat exchange to increase human thermal comfort
keywords	applications, architecture, building, energy, systems, design, knowledge
series	CADline
last changed	2003/06/02 10:24

_id	2c22
authors	O'Neill, Michael J.
year	1992
title	Neural Network Simulation as a Computer- Aided design Tool For Predicting Wayfinding Performance
source	New York: John Wiley & Sons, 1992. pp. 347-366 : ill. includes bibliography
summary	Complex public facilities such as libraries, hospitals, and governmental buildings often present problems to users who must find their way through them. Research shows that difficulty in wayfinding has costs in terms of time, money, public safety, and stress that results from being lost. While a wide range of architectural research supports the notion that ease of wayfinding should be a criterion for good design, architects have no method for evaluating how well their building designs will support the wayfinding task. People store and retrieve information about the layout of the built environment in a knowledge representation known as the cognitive map. People depend on the information stored in the cognitive map to find their way through buildings. Although there are numerous simulations of the cognitive map, the mechanisms of these models are not constrained by what is known about the neurophysiology of the brain. Rather, these models incorporate search mechanisms that act on semantically encoded information about the environment. In this paper the author describes the evaluation and application of an artificial neural network simulation of the cognitive map as a means of predicting wayfinding behavior in buildings. This simulation is called NAPS-PC (Network Activity Processing Simulator--PC version). This physiologically plausible model represents knowledge about the layout of the environment through a network of inter-connected processing elements. The performance of NAPS-PC was evaluated against actual human wayfinding performance. The study found that the simulation generated behavior that matched the performance of human participants. After the validation, NAPS-PC was modified so that it could read environmental information directly from AutoCAD (a popular micro-computer-based CAD software package) drawing files, and perform 'wayfinding' tasks based on that environmental information. This prototype tool, called AutoNet, is conceptualized as a means of allowing designers to predict the wayfinding performance of users in a building before it is actually built
keywords	simulation, cognition, neural networks, evaluation, floor plans, applications, wayfinding, layout, building
series	CADline
last changed	2003/06/02 13:58

_id	7e68
authors	Holland, J.
year	1992
title	Genetic Algorithms
source	Scientific America, July 1992
summary	Living organisms are consummate problem solvers. They exhibit a versatility that puts the best computer programs to shame. This observation is especially galling for computer scientists, who may spend months or years of intellectual effort on an algorithm, whereas organisms come by their abilities through the apparently undirected mechanism of evolution and natural selection. Pragmatic researchers see evolution's remarkable power as something to be emulated rather than envied. Natural selection eliminates one of the greatest hurdles in software design: specifying in advance all the features of a problem and the actions a program should take to deal with them. By harnessing the mechanisms of evolution, researchers may be able to "breed" programs that solve problems even when no person can fully understand their structure. Indeed, these so-called genetic algorithms have already demonstrated the ability to made breakthroughs in the design of such complex systems as jet engines. Genetic algorithms make it possible to explore a far greater range of potential solutions to a problem than do conventional programs. Furthermore, as researchers probe the natural selection of programs under controlled an well-understood conditions, the practical results they achieve may yield some insight into the details of how life and intelligence evolve in the natural world.
series	journal paper
last changed	2003/04/23 15:50

_id	c804
authors	Richens, P.
year	1994
title	Does Knowledge really Help?
source	G. Carrara and Y.E. Kalay (Eds.), Knowledge-Based Computer-Aided Architectural Design, Elsevier
summary	The Martin Centre CADLAB has recently been established to investigate software techniques that could be of practical importance to architects within the next five years. In common with most CAD researchers, we are interested in the earlier, conceptual, stages of design, where commercial CAD systems have had little impact. Our approach is not Knowledge-Based, but rather focuses on using the computer as a medium for design and communication. This leads to a concentration on apparently superficial aspects such as visual appearance, the dynamics of interaction, immediate feedback, plasticity. We try to avoid building-in theoretical attitudes, and to reduce the semantic content of our systems to a low level on the basis that flexibility and intelligence are inversely related; and that flexibility is more important. The CADLAB became operational in January 1992. First year work in three areas – building models, experiencing architecture, and making drawings – is discussed.
series	other
more	http://www.arct.cam.ac.uk/research/pubs/
last changed	2003/03/05 13:19

_id	daff
authors	Richens, P.
year	1994
title	CAD Research at the Martin Centre
source	Automation in Construction, No. 3
summary	The Martin Centre CADLAB has recently been established to investigate software techniques that could be of practical importance to architects within the next five years. In common with most CAD researchers, we are interested in the earlier, conceptual, stages of design, where commercial CAD systems have had little impact. Our approach is not Knowledge-Based, but rather focuses on using the computer as a medium for design and communication. This leads to a concentration on apparently superficial aspects such as visual appearance, the dynamics of interaction, immediate feedback, plasticity. We try to avoid building-in theoretical attitudes, and to reduce the semantic content of our systems to a low level on the basis that flexibility and intelligence are inversely related; and that flexibility is more important. The CADLAB became operational in January 1992. First year work in three areas – building models, experiencing architecture, and making drawings – is discussed.
series	journal
email
more	http://www.arct.cam.ac.uk/research/pubs/pdfs/rich94a.pdf
last changed	2000/03/05 19:05

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