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 eb5f
authors Al-Sallal, Khaled A. and Degelman, Larry 0.
year 1994
title A Hypermedia Model for Supporting Energy Design in Buildings
doi https://doi.org/10.52842/conf.acadia.1994.039
source Reconnecting [ACADIA Conference Proceedings / ISBN 1-880250-03-9] Washington University (Saint Louis / USA) 1994, pp. 39-49
summary Several studies have discussed the limitations of the available CAAD tools and have proposed solutions [Brown and Novitski 1987, Brown 1990, Degelman and Kim 1988, Schuman et al 1988]. The lack of integration between the different tasks that these programs address and the design process is a major problem. Schuman et al [1988] argued that in architectural design many issues must be considered simultaneously before the synthesis of a final product can take place. Studies by Brown and Novitski [1987] and Brown [1990] discussed the difficulties involved with integrating technical considerations in the creative architectural process. One aspect of the problem is the neglect of technical factors during the initial phase of the design that, as the authors argued, results from changing the work environment and the laborious nature of the design process. Many of the current programs require the user to input a great deal of numerical values that are needed for the energy analysis. Although there are some programs that attempt to assist the user by setting default values, these programs distract the user with their extensive arrays of data. The appropriate design tool is the one that helps the user to easily view the principal components of the building design and specify their behaviors and interactions. Data abstraction and information parsimony are the key concepts in developing a successful design tool. Three different approaches for developing an appropriate CAAD tool were found in the literature. Although there are several similarities among them, each is unique in solving certain aspects of the problem. Brown and Novitski [1987] emphasize the learning factor of the tool as well as its highly graphical user interface. Degelman and Kim [1988] emphasize knowledge acquisition and the provision of simulation modules. The Windows and Daylighting Group of Lawrence Berkeley Laboratory (LBL) emphasizes the dynamic structuring of information, the intelligent linking of data, the integrity of the different issues of design and the design process, and the extensive use of images [Schuman et al 19881, these attributes incidentally define the word hypermedia. The LBL model, which uses hypermedia, seems to be the more promising direction for this type of research. However, there is still a need to establish a new model that integrates all aspects of the problem. The areas in which the present research departs from the LBL model can be listed as follows: it acknowledges the necessity of regarding the user as the center of the CAAD tool design, it develops a model that is based on one of the high level theories of human-computer interaction, and it develops a prototype tool that conforms to the model.

series ACADIA
email
last changed 2022/06/07 07:54

_id 5f4b
authors Coyne, R.D.
year 1988
title Logic Models of Design
source Pitman, London
summary This monograph places design in a theoretical context which applies developments in knowledge-based systems, logic programming and planning to design. It addresses two important design issues: the interpretation of designs, which concerns the discovery of implicit design attributes, a key activity in design evaluation that can be modelled by deductive inference in logic programming; and the process of generation, whereby a design description is produced which exhibits these implicit design attributes. Implicit attributes can be seen as analogous to the semantic content of natural language utterances. The work presented here is mainly concerned with design generation, and an operational model of design is investigated in which operations on processes are treated in a similar way to operations on form. It is argued that there are advantages in representing control knowledge as rules in a design system, and that logic is an effective medium for this purpose. This is demonstrated by means of programs developed in Prolog and C using the example of spatial layout in buildings. Primarily, this book is directed at those in artificial intelligence (AI) involved in logic programming, planning and expert systems. However, since AI techniques are finding widespread application in industry, the use of an architectural design example makes this work relevant to architects, designers, engineers and developers of intelligent architectural design software.
series other
email
last changed 2003/04/23 15:14

_id 0803
authors Jabri, Marwan A. and Skellern, David J.
year 1988
title Automatic Floorplan Design Using PIAF
source August, 1988. 36 p. : ill. tables
summary This paper presents PIAF (a Package for Intelligent and Algorithmic Floorplanning), developed at Sydney University Electrical Engineering (SUEE) for use in custom integrated circuit design. Floorplanning plays a crucial role in the design of custom integrated circuits. When design is approached in a top-down fashion, the function to be implemented on silicon is first decomposed in a conceptual phase into a Functional Block Diagram (FBD). This FBD has a 'blocks and buses' structure where blocks represent sub- functions and buses represent the interconnections that carry data and other information between blocks. The decomposition of the function into sub-functions is hierarchical and aims at reducing the complexity of the design problem. When the FBD is known, the floorplanning process may be performed. When this task is performed manually, the designer searches for a relative placement of the blocks and for an area and shape for each block to minimize the overall chip layout area while at the same time meeting design constraints such as design tool limitations, interconnection characteristics and technological design rules. PIAF is a knowledge-based system (KBS) that has been developed at SUEE during the last four years. It relies on a strategy that partitions the floorplanning task in a way that allows efficient use of heuristics and specialized design knowledge in the generation and pruning of the solution space. This paper presents the operation of PIAF and discusses several implementation issues including; KBS structure, knowledge representation, knowledge acquisition, current context memory design, design quality factors and explanation facility. This paper uses a running example to present the operation of each PIAF's KBS-based solving phases
keywords knowledge, representation, knowledge acquisition, electrical engineering, design, integrated circuits, knowledge base, systems, layout, synthesis
series CADline
last changed 2003/06/02 10:24

_id 98bd
authors Pea, R.
year 1993
title Practices of Distributed Intelligence and Designs for Education
source Distributed Cognitions, edited by G. Salomon. New York, NY: CambridgeUniversity Press
summary v Knowledge is commonly socially constructed, through collaborative efforts... v Intelligence may also be distributed for use in designed artifacts as diverse as physical tools, representations such as diagrams, and computer-user interfaces to complex tasks. v Leont'ev 1978 for activity theory that argues forcibly for the centrality of people-in-action, activity systems, as units of analysis for deepening our understanding of thinking. v Intelligence is distributed: the resources that shape and enable activity are distributed across people, environments, and situations. v Intelligence is accomplished rather than possessed. v Affordance refers to the perceived and actual properties of a thing, primarily those functional properties that determine how the thing could possibly be used. v Norman 1988 on design and psychology - the psychology of everyday things" v We deploy effort-saving strategies in recognition of their cognitive economy and diminished opportunity for error. v The affordances of artifacts may be more or less difficult to convey to novice users of these artifacts in the activities to which they contribute distributed intelligence. v Starts with Norman's seven stages of action Ø Forming a goal; an intention § Task desire - clear goal and intention - an action and a means § Mapping desire - unable to map goal back to action § Circumstantial desire - no specific goal or intention - opportunistic approach to potential new goal § Habitual desire - familiar course of action - rapidly cycle all seven stages of action v Differentiates inscriptional systems from representational or symbol systems because inscriptional systems are completely external, while representational or symbol systems have been used in cognitive science as mental constructs. v The situated properties of everyday cognition are highly inventive in exploiting features of the physical and social situation as resources for performing a task, thereby avoiding the need for mental symbol manipulations unless they are required by that task. v Explicit recognition of the intelligence represented and representable in design, specifically in designed artifacts that play important roles in human activities. v Once intelligence is designed into the affordances properties of artifacts, it both guides and constrains the likely contributions of that artifact to distributed intelligence in activity. v Culturally valued designs for distributed intelligence will change over time, especially as new technology becomes associated with a task domain. v If we treat distributed intelligence in action as the scientific unit of analysis for research and theory on learning and reasoning... Ø What is distributed? Ø What constraints govern the dynamics of such distributions in different time scales? Ø Through what reconfigurations of distributed intelligence might the performance of an activity system improve over time? v Intelligence is manifest in activity and distributed in nature. v Intelligent activities ...in the real world... are often collaborative, depend on resources beyond an individual's long-term memory, and require the use of information-handling tools... v Wartofsky 1979 - the artifact is to cultural evolution what the gene is to biological evolution - the vehicle of information across generations. v Systems of activity - involving persons, environment, tools - become the locus of developmental investigation. v Disagrees with Salomon et al.'s entity-oriented approach - a language of containers holding things. v Human cognition aspires to efficiency in distributing intelligence - across individuals, environment, external symbolic representations, tools, and artifacts - as a means of coping with the complexity of activities we often cal "mental." "
series other
last changed 2003/04/23 15:14

_id ea5c
authors Purcell, P.
year 1988
title The Role of Media Technology in the Design Studio
source CAAD futures ‘87 [Conference Proceedings / ISBN 0-444-42916-6] Eindhoven (The Netherlands), 20-22 May 1987, pp. 179-187
summary This paper refers to a program of work, which aims to integrate a range of computer-based multi-media technologies which has the overall goal of enhancing the processes of education in the design studio. The individual projects describe the development of visual information systems and intelligent design systems. The framework of support for much of the work is Project Athena, a campus wide initiative to apply new technology towards enhancing the educational process project.
series CAAD Futures
last changed 1999/04/03 17:58

_id 252a
authors Reich, Yoram
year 1988
title Machine Learning for Expert Systems : Motivation and Techniques
source i-iii, 51 p. : some ill Pittsburgh, PA: Engineering Design Research Center, CMU, June, 1988. EDRC 12-27-88. includes bibliography. First generation expert systems suffer from two major problems: they are brittle and their development is a long, effortful process. Few successful expert systems for real world problems have been demonstrated. In this paper, learning, the key to intelligent behavior and expertise, is described as the answer to both expert systems deficiencies. Machine learning techniques are described, with their applicability to expert systems. A framework to organize machine learning techniques is provided. The description is followed by examples taken from the structural design domain. AI / learning / expert systems / structures / techniques. 37. Requicha, Aristides A. G. 'Mathematical Models of Rigid Solid Objects -- Production Automation Project.' Rochester, NY: College of Engineering & Applied Science, University of Rochester, November, 1977. [3], 37 p. : ill.
summary Computational models of solid objects are potentially useful in a variety of scientific and engineering fields, and in particular in the field of design and manufacturing automation for the mechanical industries. In recent years a multitude of modelling systems have been implemented both by research laboratories and commercial vendors, but little attention has been paid to the fundamental theoretical issues in geometric modelling. This has led to severe difficulties in assessing current and proposed systems, and in distinguishing essential capabilities and limitations from user conveniences and efficiency considerations. This paper seeks a sharp mathematical characterization of 'rigid solids' in a manner that is suitable for studies in design and production automation. It draws heavily on established results in modern geometry and topology. Relevant results scattered throughout the mathematical literature are placed in a coherent framework and presented in a form accessible to engineers and computer scientists. A companion paper is devoted to a discussion of representational issues in the context set forth by this paper
keywords solid modeling, geometric modeling
series CADline
last changed 1999/02/12 15:09

_id 0e42
authors Rouse, W., Geddes, N. and Curry, R.
year 1998
title An Architecture for Intelligent Interfaces: Outline of an Approach to Supporting Operators of Complex Systems Articles
source Human-Computer Interaction 1987-1988 v.3 n.2 pp. 87-122
summary The conceptual design of a comprehensive support system for operators of complex systems is presented. Key functions within the support system architecture include information management, error monitoring, and adaptive aiding. One of the central knowledge sources underlying this functionality is an operator model that involves a combination of algorithmic and symbolic models for assessing and predicting an operator's activities, awareness, intentions, resources, and performance. Functional block diagrams are presented for the overall architecture as well as the key elements within this architecture. A variety of difficult design issues are discussed, and ongoing efforts aimed at resolving these issues are noted.
series other
last changed 2002/07/07 16:01

_id 861a
authors Sedas, Sergio W. and Talukdar, Sarosh N.
year 1987
title A Disassembly Planner for Redesign
source The Winter Annual Meeting of the American Society of Mechanical Engineers. Symposium of Intelligent and Integrated Manufacturing Analysis and Synthesis. December, 1987. Pittsburgh, PA: Engineering Design Research Center, CMU, 1988. [6] p. : ill. includes bibliography
summary This paper describes an algorithm for generating plans for disassembling given objects. The plans are produced by a set of knowledge sources acting on a set of representations for the object. Both sets are arbitrarily expandable, so programs using the approach can grow continually in capability. Our present complement of knowledge sources and representations can tackle relatively difficult problems. Three examples are included. The first requires a good bit of geometric reasoning before appropriate subassemblies can be selected. The second and third require certain movable parts to be repositioned before disassembly can be achieved
keywords algorithms, representation, synthesis, assemblies, knowledge, reasoning, mechanical engineering
series CADline
last changed 2003/06/02 13:58

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