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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	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	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	aba4
authors	Lischinski, D. Tampieri, F. and Greenberg, D.P.
year	1992
title	Discontinuity Meshing for Accurate Radiosity
source	IEEE Computer Graphics & Applications, November 1992, pp.25-38
summary	We discuss the problem of accurately computing the illumination of a diffuse polyhedral environment due to an area light source. We show how umbra and penumbra boundaries and other illumination details correspond to discontinuities in the radiance function and its derivatives. The shape, location, and order of these discontinuities is determined by the geometry of the light sources and obstacles in the environment. We describe an object-space algorithm that accurately reproduces the radiance across a surface by constructing a discontinuity mesh that explicitly represents various discontinuities in the radiance function as boundaries between mesh elements. A piecewise quadratic interpolant is used to approximate the radiance function, preserving the discontinuities associated with the edges in the mesh. This algorithm can be used in the framework of a progressive refinement radiosity system to solve the diffuse global illumination problem. Results produced by the new method are compared with ones obtained using a standard radiosity system.
series	journal paper
last changed	2003/04/23 15:50

_id	aa78
authors	Bayazit, Nigan
year	1992
title	Requirements of an Expert System for Design Studios
doi	https://doi.org/10.52842/conf.ecaade.1992.187
source	CAAD Instruction: The New Teaching of an Architect? [eCAADe Conference Proceedings] Barcelona (Spain) 12-14 November 1992, pp. 187-194
summary	The goal of this paper is to study problems of the transition from traditional architectural studio teaching to CAAD studio teaching which requires a CAAD expert system as studio tutor, and to study the behavior of the student in this new environment. The differences between the traditional and computerized studio teaching and the experiences in this field are explained referring to the requirements for designing time in relation to the expertise of the student in the application of a CAD program. Learning styles and the process of design in computerized and non-computerized studio teaching are discussed. Design studio requirements of the students in traditional studio environment while doing design works are clarified depending on the results of an empirical study which explained the relations between the tutor and the student while they were doing studio critiques. Main complaints of the students raised in the empirical study were the lack of data in the specific design problem area, difficulties of realization of ideas and thoughts, not knowing the starting point of design, having no information about the references to be used for the specific design task, having difficulties in the application of presentation techniques. In the concluding parts of the paper are discussed the different styles of teaching and their relation to the CAAD environment, the transformation of the instructional programs for the new design environment, the future expectations from the CAAD programs, properties of the new teaching environment and the roles of the expert systems in design studio education.
keywords	CAAD Education, Expert System, Architectural Design Studio, Knowledge Acquisition
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ddss9219
id	ddss9219
authors	Bourdakis, V. and Fellows, R.F.
year	1993
title	A model appraising the performance of structural systems used in sports hall and swimming pool buildings in greece
source	Timmermans, Harry (Ed.), Design and Decision Support Systems in Architecture (Proceedings of a conference held in Mierlo, the Netherlands in July 1992), ISBN 0-7923-2444-7
summary	The selection of the best performing structural system (among steel, timber laminated, concrete, fabric tents) for medium span (30-50m) sports halls and swimming pools in Greece formed the impetus for this research. Decision-making concerning selection of the structural system is difficult in this sector of construction, as was explained in the "Long Span Structures" conference (November 1990, Athens. Greece). From the literature it has been found that most building appraisals end up at the level of data analysis and draw conclusions on the individual aspects they investigate. These approaches usually focus on a fraction of the problem, examining it very deeply and theoretically. Their drawback is loss of comprehensiveness and ability to draw conclusions on an overall level and consequently being applicable to the existing conditions. Research on an inclusive level is sparse. In this particular research project, an inclusive appraisal approach was adopted, leading to the identification of three main variables: resources, human-user-satisfaction, and technical. Consequently, this led to a combination of purely quantitative and qualitative data. Case studies were conducted on existing buildings in order to assess the actual performance of the various alternative structural systems. This paper presents the procedure followed for the identification of the research variables and the focus on the development of the model of quantification. The latter is of vital importance if the problem of incompatibility of data is to be solved, overall relation of findings is to be achieved and holistic conclusions are to be drawn.
series	DDSS
last changed	2003/11/21 15:16

_id	cef3
authors	Bridges, Alan H.
year	1992
title	Computing and Problem Based Learning at Delft University of Technology Faculty of Architecture
doi	https://doi.org/10.52842/conf.ecaade.1992.289
source	CAAD Instruction: The New Teaching of an Architect? [eCAADe Conference Proceedings] Barcelona (Spain) 12-14 November 1992, pp. 289-294
summary	Delft University of Technology, founded in 1842, is the oldest and largest technical university in the Netherlands. It provides education for more than 13,000 students in fifteen main subject areas. The Faculty of Architecture, Housing, Urban Design and Planning is one of the largest faculties of the DUT with some 2000 students and over 500 staff members. The course of study takes four academic years: a first year (Propaedeuse) and a further three years (Doctoraal) leading to the "ingenieur" qualification. The basic course material is delivered in the first two years and is taken by all students. The third and fourth years consist of a smaller number of compulsory subjects in each of the department's specialist areas together with a wide range of option choices. The five main subject areas the students may choose from for their specialisation are Architecture, Building and Project Management, Building Technology, Urban Design and Planning, and Housing. The curriculum of the Faculty has been radically revised over the last two years and is now based on the concept of "Problem-Based Learning". The subject matter taught is divided thematically into specific issues that are taught in six week blocks. The vehicles for these blocks are specially selected and adapted case studies prepared by teams of staff members. These provide a focus for integrating specialist subjects around a studio based design theme. In the case of second year this studio is largely computer-based: many drawings are produced by computer and several specially written computer applications are used in association with the specialist inputs. This paper describes the "block structure" used in second year, giving examples of the special computer programs used, but also raises a number of broader educational issues. Introduction of the block system arose as a method of curriculum integration in response to difficulties emerging from the independent functioning of strong discipline areas in the traditional work groups. The need for a greater level of selfdirected learning was recognised as opposed to the "passive information model" of student learning in which the students are seen as empty vessels to be filled with knowledge - which they are then usually unable to apply in design related contexts in the studio. Furthermore, the value of electives had been questioned: whilst enabling some diversity of choice, they may also be seen as diverting attention and resources from the real problems of teaching architecture.
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2015_11.166
id	sigradi2015_11.166
authors	Calixto, Victor; Celani, Gabriela
year	2015
title	A literature review for space planning optimization using an evolutionary algorithm approach: 1992-2014
source	SIGRADI 2015 [Proceedings of the 19th Conference of the Iberoamerican Society of Digital Graphics - vol. 2 - ISBN: 978-85-8039-133-6] Florianópolis, SC, Brasil 23-27 November 2015, pp. 662-671.
summary	Space planning in architecture is a field of research in which the process of arranging a set of space elements is the main concern. This paper presents a survey of 31 papers among applications and reviews of space planning method using evolutionary algorithms. The objective of this work was to organize, classify and discuss about twenty-two years of SP based on an evolutionary approach to orient future research in the field.
keywords	Space Planning, Evolutionary algorithms, Generative System
series	SIGRADI
email
last changed	2016/03/10 09:47

_id	b4c4
authors	Carrara, G., Fioravanti, A. and Novembri, G.
year	2000
title	A framework for an Architectural Collaborative Design
doi	https://doi.org/10.52842/conf.ecaade.2000.057
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
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	2312
authors	Carrara, G., Kalay Y.E. and Novembri, G.
year	1992
title	Multi-modal Representation of Design Knowledge
doi	https://doi.org/10.52842/conf.ecaade.1992.055
source	CAAD Instruction: The New Teaching of an Architect? [eCAADe Conference Proceedings] Barcelona (Spain) 12-14 November 1992, pp. 55-66
summary	Explicit representation of design knowledge is needed if scientific methods are to be applied in design research, and if computers are to be used in the aid of design education and practice. The representation of knowledge in general, and design knowledge in particular, have been the subject matter of computer science, design methods, and computer-aided design research for quite some time. Several models of design knowledge representation have been developed over the last 30 years, addressing specific aspects of the problem. This paper describes a different approach to design knowledge representation that recognizes the multimodal nature of design knowledge. It uses a variety of computational tools to encode different kinds of design knowledge, including the descriptive (objects), the prescriptive (goals) and the operational (methods) kinds. The representation is intended to form a parsimonious, communicable and presentable knowledge-base that can be used as a tool for design research and education as well as for CAAD.
keywords	Design Methods, Design Process Goals, Knowledge Representation, Semantic Networks
series	eCAADe
email
last changed	2022/06/07 07:55

_id	6ef4
authors	Carrara, Gianfranco and Kalay, Yehuda E.
year	1992
title	Multi-Model Representation of Design Knowledge
doi	https://doi.org/10.52842/conf.acadia.1992.077
source	Mission - Method - Madness [ACADIA Conference Proceedings / ISBN 1-880250-01-2] 1992, pp. 77-88
summary	Explicit representation of design knowledge is needed if scientific methods are to be applied in design research, and if comPuters are to be used in the aid of design education and practice. The representation of knowledge in general, and design knowledge in particular, have been the subject matter of computer science, design methods, and computer- aided design research for quite some time. Several models of design knowledge representation have been developed over the last 30 years, addressing specific aspects of the problem. This paper describes a different approach to design knowledge representation that recognizes the Multi-modal nature of design knowledge. It uses a variety of computational tools to encode different kinds of design knowledge, including the descriptive (objects), the prescriptive (goals) and the operational (methods) kinds. The representation is intended to form a parsimonious, communicable and presentable knowledge-base that can be used as a tool for design research and education as well as for CAAD.
keywords	Design Methods, Design Process, Goals, Knowledge Representation, Semantic Networks
series	ACADIA
email
last changed	2022/06/07 07:55

_id	91c4
authors	Checkland, P.
year	1981
title	Systems Thinking, Systems Practice
source	John Wiley & Sons, Chichester
summary	Whether by design, accident or merely synchronicity, Checkland appears to have developed a habit of writing seminal publications near the start of each decade which establish the basis and framework for systems methodology research for that decade."" Hamish Rennie, Journal of the Operational Research Society, 1992 Thirty years ago Peter Checkland set out to test whether the Systems Engineering (SE) approach, highly successful in technical problems, could be used by managers coping with the unfolding complexities of organizational life. The straightforward transfer of SE to the broader situations of management was not possible, but by insisting on a combination of systems thinking strongly linked to real-world practice Checkland and his collaborators developed an alternative approach - Soft Systems Methodology (SSM) - which enables managers of all kinds and at any level to deal with the subtleties and confusions of the situations they face. This work established the now accepted distinction between hard systems thinking, in which parts of the world are taken to be systems which can be engineered, and soft systems thinking in which the focus is on making sure the process of inquiry into real-world complexity is itself a system for learning. Systems Thinking, Systems Practice (1981) and Soft Systems Methodology in Action (1990) together with an earlier paper Towards a Systems-based Methodology for Real-World Problem Solving (1972) have long been recognized as classics in the field. Now Peter Checkland has looked back over the three decades of SSM development, brought the account of it up to date, and reflected on the whole evolutionary process which has produced a mature SSM. SSM: A 30-Year Retrospective, here included with Systems Thinking, Systems Practice closes a chapter on what is undoubtedly the most significant single research programme on the use of systems ideas in problem solving. Now retired from full-time university work, Peter Checkland continues his research as a Leverhulme Emeritus Fellow. "
series	other
last changed	2003/04/23 15:14

_id	2325
authors	Chilton, John C.
year	1992
title	Computer Aided Structural Design in Architectural Instruction
doi	https://doi.org/10.52842/conf.ecaade.1992.443
source	CAAD Instruction: The New Teaching of an Architect? [eCAADe Conference Proceedings] Barcelona (Spain) 12-14 November 1992, pp. 443-450
summary	In schools of architecture there is a tendency to associate the use of computers solely with the production of graphic images as part of the architectural design process. However, if the architecture is to work as a building it is also essential that technical aspects of the design are adequately investigated. One of the problem areas for most architectural students is structural design and they are often reluctant to use hand calculations to determine sizes of structural elements within their projects. In recent years, much of the drudgery of hand calculation has been removed from the engineer by the use of computers, and this has, hopefully, allowed a more thorough investigation of conceptual ideas and alternatives. The same benefit is now becoming available to architectural students. This is in the form of structural analysis and design programs that can be used, even by those having a limited knowledge of structural engineering, to assess the stability of designs and obtain approximate sizes for individual structural elements. The paper discusses how the use of such programs is taught, within the School of Architecture at Nottingham. Examples will be given of how they can assist students in the architectural design process. In particular, the application of GLULAM, a program for estimating sizes of laminated timber elements and SAND, a structural analysis and design package, will be described.
series	eCAADe
last changed	2022/06/07 07:55

_id	c434
authors	Colajanni, B., Pellitteri, G. and Scianna, A.
year	1992
title	Two Approaches to Teaching Computers in Architecture: The Experience in the Faculty of Engineering in Palermo, Italy
doi	https://doi.org/10.52842/conf.ecaade.1992.295
source	CAAD Instruction: The New Teaching of an Architect? [eCAADe Conference Proceedings] Barcelona (Spain) 12-14 November 1992, pp. 295-306
summary	Teaching the use of computers in architecture poses the same kind of problems as teaching mathematics. To both there are two possible approaches. The first presents the discipline as a tool of which the merely instrumental aspect is emphasized. Teaching is limited to show the results obtainable by existing programs and how to get them. The second approach, on the contrary emphasizes the autonomous nature of the discipline, mathematics as much as computing, on the basis of the convincement that the maximum of instrumental usefulness can be obtained through the knowledge at the highest degree of generality and, then, of abstraction. The first approach changes little in the mind of the student. He simply learns that is possible, and then worthy doing, a certain amount of operations, mainly checks of performances (and not only the control of the aspect, now easy with one of the many existing CAD) or searches of technical informations in some database. The second approach gives the student the consciousness of the manageability of abstract structures of relationships. He acquires then the idea of creating by himself particular structures of relationships and managing them. This can modify the very idea of the design procedure giving the student the consciousness that he can intervene directly in every segment of the design procedure, reshaping it to some extent in a way better suited to the particular problem he is dealing with. Of course this second approach implies learning not only a language but also the capability of coming to terms with languages. And again it is a cultural acquisition that can be very useful when referred to the languages of architecture. Furthermore the capability of simulating on the computer also a small segment of the design process gives the student a better understanding both of the particular problem he is dealing with and of the very nature of design. As for the first effect, it happens whenever a translation is done from a language to another one. One is obliged to get to the core of the matter in order to overcome the difficulties rising from the different bias of the two languages. The second effect comes from the necessity of placing the studied segment in the general flow of the design process. The organisation in a linear sequence of action to be accomplished recursively in an order always varying in any design occasion is an extremely useful exercise to understand the signification and the techniques of formalisation of design problems.
series	eCAADe
email
last changed	2022/06/07 07:56

_id	6d1d
authors	Daru, R. and Daru, M.
year	1992
title	Personal Working Styles in the CMD Studio
doi	https://doi.org/10.52842/conf.ecaade.1992.451
source	CAAD Instruction: The New Teaching of an Architect? [eCAADe Conference Proceedings] Barcelona (Spain) 12-14 November 1992, pp. 451-472
summary	Normative and problem-solving approaches of architectural design ignore the personality aspects of the designing activity. Every architect approaches projects according to her/his own strategies and tactics. Usually they do not conform to the prescriptive models of design theoreticians. Computer aided design tools should be adapted to their utility within the strategies and tactics of each and every architectural student. We are testing the usefulness of CAAD tools developed by others or ourselves and identifying the needs for missing tools. It is already clear that many CAAD tools reflect the point of view of the programmer about strategies and tactics of designing and that they do not take into account the idiosyncrasies of the end user. Forcing the tools on students breeds the risk of fostering repulsion against ill-adapted tools, and consequently against CMD. Our research group pursues empirical research on working styles of designing by practising architects within the frame of a personality theory of actions. The results indicate that there are three main directions for designing strategies. If we want to take into account the real-world behaviour in design practice within architectural education, this implies the diversification of the exercises we offer to the students in threefold, corresponding with the three directions. To this, we add the didactic options of complementation, compensation and support, depending on what we know about the strong or weak points of the students involved. We have started proposing choices for the exercises of our design morphology studio. Students are offered approaches and tools we consider best adapted to their own working
series	eCAADe
email
last changed	2022/06/07 07:55

_id	e779
authors	Fayos, F., Marco, F. and Roset, J.
year	1992
title	Learning Physics by Computer in an Architectural School
doi	https://doi.org/10.52842/conf.ecaade.1992.473
source	CAAD Instruction: The New Teaching of an Architect? [eCAADe Conference Proceedings] Barcelona (Spain) 12-14 November 1992, pp. 473-476
summary	A method is proposed for computerised problem-solving related to beam bending, using a programme of symbolic calculus. This approach permits easy posing of the equations to be solved. The algebraic logical enables the problem posed to be solved easily. The fact that the data can be entered in symbol form, not necessarily in numerical form, enables the student, when analysing the solution, to become familiar with the system behaviour, which is an essential aspect for support of the project task.
series	eCAADe
last changed	2022/06/07 07:55

_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	7ce5
authors	Gal, Shahaf
year	1992
title	Computers and Design Activities: Their Mediating Role in Engineering Education
source	Sociomedia, ed. Edward Barret. MIT Press
summary	Sociomedia: With all the new words used to describe electronic communication (multimedia, hypertext, cyberspace, etc.), do we need another one? Edward Barrett thinks we do; hence, he coins the term "sociomedia." It is meant to displace a computing economy in which technicity is hypostasized over sociality. Sociomedia, a compilation of twenty-five articles on the theory, design and practice of educational multimedia and hypermedia, attempts to re-value the communicational face of computing. Value, of course, is "ultimately a social construct." As such, it has everything to do with knowledge, power, education and technology. The projects discussed in this book represent the leading edge of electronic knowledge production in academia (not to mention major funding) and are determining the future of educational media. For these reasons, Sociomedia warrants close inspection. Barrett's introduction sets the tone. For him, designing computer media involves hardwiring a mechanism for the social construction of knowledge (1). He links computing to a process of social and communicative interactivity for constructing and desseminating knowledge. Through a mechanistic mapping of the university as hypercontext (a huge network that includes classrooms as well as services and offices), Barrett models intellectual work in such a way as to avoid "limiting definitions of human nature or human development." Education, then, can remain "where it should be--in the human domain (public and private) of sharing ideas and information through the medium of language." By leaving education in a virtual realm (where we can continue to disagree about its meaning and execution), it remains viral, mutating and contaminating in an intellectually healthy way. He concludes that his mechanistic model, by means of its reductionist approach, preserves value (7). This "value" is the social construction of knowledge. While I support the social orientation of Barrett's argument, discussions of value are related to power. I am not referring to the traditional teacher-student power structure that is supposedly dismantled through cooperative and constructivist learning strategies. The power to be reckoned with in the educational arena is foundational, that which (pre)determines value and the circulation of knowledge. "Since each of you reading this paragraph has a different perspective on the meaning of 'education' or 'learning,' and on the processes involved in 'getting an education,' think of the hybris in trying to capture education in a programmable function, in a displayable object, in a 'teaching machine'" (7). Actually, we must think about that hybris because it is, precisely, what informs teaching machines. Moreover, the basic epistemological premises that give rise to such productions are too often assumed. In the case of instructional design, the episteme of cognitive sciences are often taken for granted. It is ironic that many of the "postmodernists" who support electronic hypertextuality seem to have missed Jacques Derrida's and Michel Foucault's "deconstructions" of the epistemology underpinning cognitive sciences (if not of epistemology itself). Perhaps it is the glitz of the technology that blinds some users (qua developers) to the belief systems operating beneath the surface. Barrett is not guilty of reactionary thinking or politics; he is, in fact, quite in line with much American deconstructive and postmodern thinking. The problem arises in that he leaves open the definitions of "education," "learning" and "getting an education." One cannot engage in the production of new knowledge without orienting its design, production and dissemination, and without negotiating with others' orientations, especially where largescale funding is involved. Notions of human nature and development are structural, even infrastructural, whatever the medium of the teaching machine. Although he addresses some dynamics of power, money and politics when he talks about the recession and its effects on the conference, they are readily visible dynamics of power (3-4). Where does the critical factor of value determination, of power, of who gets what and why, get mapped onto a mechanistic model of learning institutions? Perhaps a mapping of contributors' institutions, of the funding sources for the projects showcased and for participation in the conference, and of the disciplines receiving funding for these sorts of projects would help visualize the configurations of power operative in the rising field of educational multimedia. Questions of power and money notwithstanding, Barrett's introduction sets the social and textual thematics for the collection of essays. His stress on interactivity, on communal knowledge production, on the society of texts, and on media producers and users is carried foward through the other essays, two of which I will discuss. Section I of the book, "Perspectives...," highlights the foundations, uses and possible consequences of multimedia and hypertextuality. The second essay in this section, "Is There a Class in This Text?," plays on the robust exchange surrounding Stanley Fish's book, Is There a Text in This Class?, which presents an attack on authority in reading. The author, John Slatin, has introduced electronic hypertextuality and interaction into his courses. His article maps the transformations in "the content and nature of work, and the workplace itself"-- which, in this case, is not industry but an English poetry class (25). Slatin discovered an increase of productive and cooperative learning in his electronically- mediated classroom. For him, creating knowledge in the electronic classroom involves interaction between students, instructors and course materials through the medium of interactive written discourse. These interactions lead to a new and persistent understanding of the course materials and of the participants' relation to the materials and to one another. The work of the course is to build relationships that, in my view, constitute not only the meaning of individual poems, but poetry itself. The class carries out its work in the continual and usually interactive production of text (31). While I applaud his strategies which dismantle traditional hierarchical structures in academia, the evidence does not convince me that the students know enough to ask important questions or to form a self-directing, learning community. Stanley Fish has not relinquished professing, though he, too, espouses the indeterminancy of the sign. By the fourth week of his course, Slatin's input is, by his own reckoning, reduced to 4% (39). In the transcript of the "controversial" Week 6 exchange on Gertrude Stein--the most disliked poet they were discussing at the time (40)--we see the blind leading the blind. One student parodies Stein for three lines and sums up his input with "I like it." Another, finds Stein's poetry "almost completey [sic] lacking in emotion or any artistic merit" (emphasis added). On what grounds has this student become an arbiter of "artistic merit"? Another student, after admitting being "lost" during the Wallace Steven discussion, talks of having more "respect for Stevens' work than Stein's" and adds that Stein's poetry lacks "conceptual significance[, s]omething which people of varied opinion can intelligently discuss without feeling like total dimwits...." This student has progressed from admitted incomprehension of Stevens' work to imposing her (groundless) respect for his work over Stein's. Then, she exposes her real dislike for Stein's poetry: that she (the student) missed the "conceptual significance" and hence cannot, being a person "of varied opinion," intelligently discuss it "without feeling like [a] total dimwit." Slatin's comment is frightening: "...by this point in the semester students have come to feel increasingly free to challenge the instructor" (41). The students that I have cited are neither thinking critically nor are their preconceptions challenged by student-governed interaction. Thanks to the class format, one student feels self-righteous in her ignorance, and empowered to censure. I believe strongly in student empowerment in the classroom, but only once students have accrued enough knowledge to make informed judgments. Admittedly, Slatin's essay presents only partial data (there are six hundred pages of course transcripts!); still, I wonder how much valuable knowledge and metaknowledge was gained by the students. I also question the extent to which authority and professorial dictature were addressed in this course format. The power structures that make it possible for a college to require such a course, and the choice of texts and pedagogy, were not "on the table." The traditional professorial position may have been displaced, but what took its place?--the authority of consensus with its unidentifiable strong arm, and the faceless reign of software design? Despite Slatin's claim that the students learned about the learning process, there is no evidence (in the article) that the students considered where their attitudes came from, how consensus operates in the construction of knowledge, how power is established and what relationship they have to bureaucratic insitutions. How do we, as teaching professionals, negotiate a balance between an enlightened despotism in education and student-created knowledge? Slatin, and other authors in this book, bring this fundamental question to the fore. There is no definitive answer because the factors involved are ultimately social, and hence, always shifting and reconfiguring. Slatin ends his article with the caveat that computerization can bring about greater estrangement between students, faculty and administration through greater regimentation and control. Of course, it can also "distribute authority and power more widely" (50). Power or authority without a specific face, however, is not necessarily good or just. Shahaf Gal's "Computers and Design Activities: Their Mediating Role in Engineering Education" is found in the second half of the volume, and does not allow for a theory/praxis dichotomy. Gal recounts a brief history of engineering education up to the introduction of Growltiger (GT), a computer-assisted learning aid for design. He demonstrates GT's potential to impact the learning of engineering design by tracking its use by four students in a bridge-building contest. What his text demonstrates clearly is that computers are "inscribing and imaging devices" that add another viewpoint to an on-going dialogue between student, teacher, earlier coursework, and other teaching/learning tools. The less proficient students made a serious error by relying too heavily on the technology, or treating it as a "blueprint provider." They "interacted with GT in a way that trusted the data to represent reality. They did not see their interaction with GT as a negotiation between two knowledge systems" (495). Students who were more thoroughly informed in engineering discourses knew to use the technology as one voice among others--they knew enough not simply to accept the input of the computer as authoritative. The less-advanced students learned a valuable lesson from the competition itself: the fact that their designs were not able to hold up under pressure (literally) brought the fact of their insufficient knowledge crashing down on them (and their bridges). They also had, post factum, several other designs to study, especially the winning one. Although competition and comparison are not good pedagogical strategies for everyone (in this case the competitors had volunteered), at some point what we think we know has to be challenged within the society of discourses to which it belongs. Students need critique in order to learn to push their learning into auto-critique. This is what is lacking in Slatin's discussion and in the writings of other avatars of constructivist, collaborative and computer-mediated pedagogies. Obviously there are differences between instrumental types of knowledge acquisition and discoursive knowledge accumulation. Indeed, I do not promote the teaching of reading, thinking and writing as "skills" per se (then again, Gal's teaching of design is quite discursive, if not dialogic). Nevertheless, the "soft" sciences might benefit from "bridge-building" competitions or the re-institution of some forms of agonia. Not everything agonistic is inhuman agony--the joy of confronting or creating a sound argument supported by defensible evidence, for example. Students need to know that soundbites are not sound arguments despite predictions that electronic writing will be aphoristic rather than periodic. Just because writing and learning can be conceived of hypertextually does not mean that rigor goes the way of the dinosaur. Rigor and hypertextuality are not mutually incompatible. Nor is rigorous thinking and hard intellectual work unpleasurable, although American anti-intellectualism, especially in the mass media, would make it so. At a time when the spurious dogmatics of a Rush Limbaugh and Holocaust revisionist historians circulate "aphoristically" in cyberspace, and at a time when knowledge is becoming increasingly textualized, the role of critical thinking in education will ultimately determine the value(s) of socially constructed knowledge. This volume affords the reader an opportunity to reconsider knowledge, power, and new communications technologies with respect to social dynamics and power relationships.
series	other
last changed	2003/04/23 15:14

_id	6cfd
authors	Harfmann, Anton C. and Majkowski, Bruce R.
year	1992
title	Component-Based Spatial Reasoning
doi	https://doi.org/10.52842/conf.acadia.1992.103
source	Mission - Method - Madness [ACADIA Conference Proceedings / ISBN 1-880250-01-2] 1992, pp. 103-111
summary	The design process and ordering of individual components through which architecture is realized relies on the use of abstract "models" to represent a proposed design. The emergence and use of these abstract "models" for building representation has a long history and tradition in the field of architecture. Models have been made and continue to be made for the patron, occasionally the public, and as a guide for the builders. Models have also been described as a means to reflect on the design and to allow the design to be in dialogue with the creator. The term "model" in the above paragraph has been used in various ways and in this context is defined as any representation through which design intent is expressed. This includes accurate/ rational or abstract drawings (2- dimensional and 3-dimensional), physical models (realistic and abstract) and computer models (solid, void and virtual reality). The various models that fall within the categories above have been derived from the need to "view" the proposed design in various ways in order to support intuitive reasoning about the proposal and for evaluation purposes. For example, a 2-dimensional drawing of a floor plan is well suited to support reasoning about spatial relationships and circulation patterns while scaled 3-dimensional models facilitate reasoning about overall form, volume, light, massing etc. However, the common denominator of all architectural design projects (if the intent is to construct them in actual scale, physical form) are the discrete building elements from which the design will be constructed. It is proposed that a single computational model representing individual components supports all of the above "models" and facilitates "viewing"' the design according to the frame of reference of the viewer. Furthermore, it is the position of the authors that all reasoning stems from this rudimentary level of modeling individual components. The concept of component representation has been derived from the fact that a "real" building (made from individual components such as nuts, bolts and bar joists) can be "viewed" differently according to the frame of reference of the viewer. Each individual has the ability to infer and abstract from the assemblies of components a variety of different "models" ranging from a visceral, experiential understanding to a very technical, physical understanding. The component concept has already proven to be a valuable tool for reasoning about assemblies, interferences between components, tracing of load path and numerous other component related applications. In order to validate the component-based modeling concept this effort will focus on the development of spatial understanding from the component-based model. The discussions will, therefore, center about the representation of individual components and the development of spatial models and spatial reasoning from the component model. In order to frame the argument that spatial modeling and reasoning can be derived from the component representation, a review of the component-based modeling concept will precede the discussions of spatial issues.
series	ACADIA
email
last changed	2022/06/07 07:49

_id	d919
authors	Heckbert, P.S.
year	1992
title	Discontinuity Meshing for Radiosity
source	Eurographics Workshop on Rendering. May 1992, pp. 203-216
summary	The radiosity method is the most popular algorithm for simulating interreflection of light between diffuse surfaces. Most existing radiosity algorithms employ simple meshes and piecewise constant approximations, thereby constraining the radiosity function to be constant across each polygonal element. Much more accurate simulations are possible if linear, quadratic, or higher degree approximations are used. In order to realize the potential accuracy of higher-degree approximations, however, it is necessary for the radiosity mesh to resolve discontinuities such as shadow edges in the radiosity function. A discontinuity meshing algorithm is presented that places mesh boundaries directly along discontinuities. Such algorithms offer the potential of faster, more accurate simulations. Results are shown for three-dimensional scenes.
series	other
last changed	2003/04/23 15:14

_id	56e9
authors	Huang, Tao-Kuang
year	1992
title	A Graphical Feedback Model for Computerized Energy Analysis during the Conceptual Design Stage
source	Texas A&M University
summary	During the last two decades, considerable effort has been placed on the development of building design analysis tools. Architects and designers have begun to take advantage of computers to generate and examine design alternatives. However, because it has been difficult to adapt computer technologies to the visual orientation of the building designer, the majority of computer applications have been limited to numerical analysis and office automation tasks. Only recently, because of advances in hardware and software techniques, computers have entered into a new phase in the development of architectural design. haveters are now able to interactively display graphics solutions to architectural related problems, which is fundamental to the design process. The majority of research programs in energy efficient design have sharpened people's understanding of energy principles and their application of those principles. Energy conservation concepts, however, have not been widely used. A major problem in the implementation of these principles is that energy principles their applications are abstract, hard to visualize and separated from the architectural design process. Furthermore, one aspect of energy analysis may contain thousands of pieces of numerical information which often leads to confusion on the part of designers. If these difficulties can be overcome, it would bring a great benefit to the advancement of energy conservation concepts. This research explores the concept of an integrated computer graphics program to support energy efficient design. It focuses on (1) the integration of energy efficiently and architectural design, and (2) the visualization of building energy use through graphical interfaces during the conceptual design stage. It involves (1) the discussion of frameworks of computer-aided architectural design and computer-aided energy efficient building design, and (2) the development of an integrated computer prototype program with a graphical interface that helps the designer create building layouts, analyze building energy interactively and receive visual feedbacks dynamically. The goal is to apply computer graphics as an aid to visualize the effects of energy related decisions and therefore permit the designer to visualize and understand energy conservation concepts in the conceptual phase of architectural design.
series	thesis:PhD
last changed	2003/02/12 22:37

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