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	3dd3
authors	Gero, J.S. and Damski, J.
year	1997
title	A symbolic model for shape emergence
source	Environment and Planning B: Planning and Design 24 : 509-526
summary	This paper presents a shape representation at the symbolic level that extends the properties of shape in 2D and 3D using the same formalism. This representation is based on the concept of infinite maximal lines and planes. Constraints on their properties are used to define shapes and objects. A process model of shape emergence which relies on this representation is developed. Data-driven and hypothesis-driven approaches to shape and object emergence are demonstrated.
keywords	Shape Emergence
series	other
email
last changed	2003/04/06 08:46

_id	2483
authors	Gero, J.S. and Kazakov, V.
year	1997
title	Learning and reusing information in space layout problems using genetic engineering
source	Artificial Intelligence in Engineering 11(3):329-334
summary	The paper describes the application of a genetic engineering based extension to genetic algorithms to the layout planning problem. We study the gene evolution which takes place when an algorithm of this type is running and demonstrate that in many cases it effectively leads to the partial decomposition of the layout problem by grouping some activit ies together and optimally placing these groups during the first stage of the computation. At a second stage it optimally places activities within these groups. We show that the algorithm finnds the solution faster than standard evolutionary methods and that evolved genes represent design features that can be re-used later in a range of similar problems.
keywords	Genetic Engineering, Learning
series	other
email
last changed	2001/09/08 12:04

_id	c0da
authors	Gero, J.S., Kazakov, V. and Schnier, T.
year	1997
title	Genetic engineering and design problems
source	D. Dasgupta and Z. Michalewicz (Eds.), Evolutionary Algorithms in Engineering Applications, Springer Verlag, Berlin, pp.47-68
summary	This chapter reviews developments in genetic algorithms based on genetic engineering extensions. It presents the development a computational model of genetic engineering and demonstrates its applicability and utility.
keywords	Genetic Engineering, Learning
series	other
email
last changed	2003/04/06 07:18

_id	454c
authors	Jun, H. and Gero, J.S.
year	1997
title	Representation, re-representation and emergence in collaborative computer-aided design
source	Maher, M.L., Gero, J.S. and Sudweeks, F. (eds), Preprints Formal Aspects of Collaborative Computer-Aided Design, Key Centre of Design Computing, University of Sydney, Sydney, pp. 303-320
summary	Representation of drawings in CAD systems can cause problems during design collaboration. The notion of re-representation is proposed as one way of addressing these problems. Furthermore, re-representation is one way of allowing emergence to occur; emergence is an important aspect of collaborative computer-mediated design. Based on the concept of re-representation a model for collaborative CAD supporting emergence is presented and an example is demonstrated.
keywords	Representation, Emergence, Collaborative CAD
series	journal paper
email
last changed	2003/05/15 21:33

_id	789d
authors	Kvan, Th., West, R. and Vera, A.
year	1997
title	Tools for a Virtual Design Community
source	Preprints Formal Aspects of Collaborative CAD, ed. M. L. Maher, J. S. Gero & F. Sudweeks, Sydney: Key Centre of Design Computing, Department of Architectural and Design Science, University of Sydney, pp. 109-123
summary	This paper proposes a methodology to evaluate the effects of computer-mediated communication on collaboratively solving design problems. When setting up a virtual design community; choices must be made between a variety of tools; choices dictated by budget; bandwidth; ability and availability. How do you choose between the tools; which is useful and how will each affect the outcome of the design exchanges you plan? A commonly used method is to analyze the work done and to identify tools which support this type of work. In general; research on the effects of computer-mediation on collaborative work has concentrated mainly on social-psychological factors such as deindividuation and attitude polarization; and used qualitative methods. In contrast; we propose to examine the process of collaboration itself; focusing on separating those component processes which primarily involve individual work from those that involve genuine interaction. Extending the cognitive metaphor of the brain as a computer; we view collaboration in terms of a network process; and examine issues of control; coordination; and delegation to separate sub-processors. Through this methodology we attempt to separate the individual problem-solving component from the larger process of collaboration.
keywords	CSCW; Group Work; Design; Expertise; Collaboration; Novice
series	other
email
last changed	2002/11/15 18:29

_id	9afb
authors	Maher, M.L., Simoff, S. and Cicognani, A.
year	1997
title	Observations from an experimental study of computer-mediated collaborative design
source	M.L. Maher, J.S. Gero, and F Sudweeks eds. Preprints Formal Aspects of Collaborative CAD, Key Centre of Design Computing, University of Sydney, Sydney, pp.165-185
summary	The use of computer technology in design practice is moving towards a distributed resource available to a team of designers. The development of software to support designers has been based largely on the assumption that there will be a single person using the software at a time. Recent developments have enabled the feasibility of software for two or more simultaneous users, leading to the possibility of computer-mediated collaborative design. Research in integrated CAD, virtual design studios, and design protocol studies provide the basis for a formal study of computer-mediated design. We develop an experimental study of computer-mediated collaborative design with the aim of collecting data on the amount and content of design semantics documented using computer applications when designing alone as compared to designing collaboratively. The experiment includes the definition of an hypothesis, aim, methodology, data collection and coding schemes. The experiment and some preliminary observations are presented, followed by directions for further research.
series	other
email
last changed	2003/04/23 15:14

_id	5a97
authors	Rosenman, M.A. and Gero, J.S.
year	1997
title	Collaborative CAD modelling in multidisciplinary design domains
source	Maher, M. L., Gero, J. S. and Sudweeks, F. (eds), Preprints Formal Aspects of Collaborative Computer-Aided Design, Key Centre of Design Computing, University of Sydney, Sydney, pp. 387-403
summary	In a multidisciplinary design environment, such as the AEC domain, the various designers will have their own concepts and representations of the design object making communication in such an environment a complex task. This paper argues for a multiple view approach based upon an assumption that different concepts of an object are based on different functional contexts. Thus an understanding of concepts such as function, purpose and intent is critical since the representation of the functional properties of design objects is the underlying basis for the formation of different concepts and coordination of these concepts. The paper points to the modelling of multidisciplinary design teams as cooperative intelligent agents in a distributed decisionmaking system where the explicit representation of function and purpose are essential, in a CAD environment, for the necessary communication of intent and effects.
series	journal paper
email
last changed	2003/05/15 21:33

_id	cc51
authors	Schnier, T. and Gero, J.S
year	1997
title	Dominant and recessive genes in evolutionary systems applied to spatial reasoning
source	A. Sattar (Ed.), Advanced Topics in Artificial Intelligence: 10th Australian Joint Conference on Artificial Intelligence AI97 Proceedings, Springer, Heidelberg, pp. 127-136
summary	Learning genetic representation has been shown to be a useful tool in evolutionary computation. It can reduce the time required to find solutions and it allows the search process to be biased towards more desirable solutions. Learn-ing genetic representation involves the bottom-up creation of evolved genes from either original (basic) genes or from other evolved genes and the introduction of those into the population. The evolved genes effectively protect combinations of genes that have been found useful from being disturbed by the genetic operations (cross-over, mutation). However, this protection can rapidly lead to situations where evolved genes in-terlock in such a way that few or no genetic operations are possible on some genotypes. To prevent the interlocking previous implementations only allow the creation of evolved genes from genes that are direct neighbours on the genotype and therefore form continuous blocks. In this paper it is shown that the notion of dominant and recessive genes can be used to remove this limitation. Using more than one gene at a single location makes it possible to construct genetic operations that can separate interlocking evolved genes. This allows the use of non-continuous evolved genes with only minimal violations of the protection of evolved genes from those operations. As an example, this paper shows how evolved genes with dominant and re-cessive genes can be used to learn features from a set of Mondrian paintings. The representation can then be used to create new designs that contain features of the examples. The Mondrian paintings can be coded as a tree, where every node represents a rectangle division, with values for direction, position, line-width and colour. The modified evolutionary operations allow the system to cre-ate non-continuous evolved genes, for example associate two divisions with thin lines, without specifying other values. Analysis of the behaviour of the system shows that about one in ten genes is a dominant/recessive gene pair. This shows that while dominant and recessive genes are important to allow the use of non-continuous evolved genes, they do not occur often enough to seriously violate the protection of evolved genes from genetic operations.
keywords	Evolutionary Systems, Genetic Representations
series	other
email
last changed	2003/04/06 07:24

_id	6537
authors	Wang, W. and Gero, J.S.
year	1997
title	Sequence-based prediction in the conceptual design of bridges
source	ASCE Journal of Computing in Civil Engineering 11(1): 37-43
summary	This paper explores the application of a machine learning technique in knowledge support systems in civil engineering design. It presents a sequence-based prediction method for engineering design and demonstrates its utility in the conceptual design of bridges. The basic idea of sequence-based prediction is that the most recent numbers of similar design cases are used in predicting the characteristics of the next design and more recent cases are given stronger influence on decision making in the new design situation than older ones. This paper develops a model of sequence-based prediction and carries out a number of experiments using it. It is then applide to a set of standard data and the results of using a sequence-based prediction method are compared with other methods. The empirical results show the potential applications of the method in engineering design.
keywords	Machine Learning, Time
series	journal paper
email
last changed	2003/05/15 21:45

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