| authors |
Liu, Yu-Tung |
| year |
1993 |
| title |
Recognizing Emergent Subshapes in Design Problem Solving: A Connectionist Investigation |
| doi |
https://doi.org/10.52842/conf.acadia.1993.131
|
| source |
Education and Practice: The Critical Interface [ACADIA Conference Proceedings / ISBN 1-880250-02-0] Texas (Texas / USA) 1993, pp. 131-139 |
| summary |
Human problem-solving behavior has been modelled as a search through the space as defined as problem states, within which earlier states move to subsequent ones by applying rules in the human mind until the goal state is found. This cognitive model of problem-solving has been broadly accepted and has become dominant in both cognitive psychology and artificial intelligence (AI). In the field of computeraided architectural design (CAAD), search models are also widely used for solving design problems, although various foci of design knowledge are differently represented by shape grammars, graphs, and knowledge-based systems using predicate logic for different purports. In design search, design evolves from one state to another by exhaustively or heuristically applying proper rules. Each rule application involves, first, pattern-matching the antecedent of a rule to the current state and, second, transforming the matched portion of that state into the consequence of the rule. However pattern-matching techniques of current CAAD systems are still limited. In current CAAD systems, only those two squares can be dealt with by patternmatching for further development. However, a human designer can effortlessly recognize not only those two but other emergent subshapes, for example a smaller square in the middle where the two squares overlap and two L-shapes in the corners. Therefore a human designer can thoroughly deliberate all these alternatives before making a decision. In other words, human designer is capable of restructuring shapes in terms of emergent subshapes in any step of designing. |
| series |
ACADIA |
| email |
|
| full text |
 file.pdf (1,343,954 bytes) |
| references |
Content-type: text/plain
|
Akin, G. (1978)
 How do architects design?
, Artificial intelligence and pattern recognition in computer-aided design, ed. J. C. Latombe, p-65-104. New York: North Holland
|
|
|
|
|
Akin, G. (1984)
An exploration of the design process
, Developments in design methodology, ed. N. Cross, p.189-208. New York: John Wiley
|
|
|
|
|
Akiner, V.T. (1986)
Topology-1 A knowledge-based system for reasoning about objects and spaces
, Design Studies 7, no. 2 (April): p.94-105
|
|
|
|
|
Anderson, J.R. (1990)
Cognitive psychology and its implications
, 3d ed. New York: W. H. Freeman
|
|
|
|
|
Coyne, R.D. and Newton, S. (1990)
Design reasoning by association
, Environment and Planning B 17: pp. 39-56
|
|
|
|
|
Coyne, R.D. (1991)
Modelling the emergence of design descriptions across schemata
, Environment and Planning B 18: p.427-458
|
|
|
|
|
Eriksen, C.W. and J.E. Hoffman (1973)
The extent of processing of noise elements during selective coding from visual displays
, Perception and Psychophysics 14: p.155-160
|
|
|
|
|
Flemming, U., Coyne, R., Glavin, T. and Rychener, M. (1988)
A generative expert system for the design of building layouts-version 2
, Artificial intelligence in engineering design, ed. J. S. Gero, p.445-464. Amsterdam: Elsevier
|
|
|
|
|
Gero, J.S. and Yan, M. (1993)
Discovering emergent shapes using a data-driven symbolic model
, CAAD Future '93, ed. U. Flemming and S. Van Wyk, p.3-17. Amsterdam: Elsevier
|
|
|
|
|
Gero, J.S., Radford, B.D., Coyne, R. and Akiner, V T. (1985)
Knowledge-based computer-aided architectural design
, Knowledge engineering in computer-aided design , ed. J. S. Gero, p.57-81. Amsterdam: NorthHolland
|
|
|
|
|
Hinton, G. E and Sejnowski, T.J. (1986)
Learning and relearning in Boltzmann machines
, Parallel distributed processing, ed. D. E. Rumelhart, J. L. McClelland, and the PDP Research Group, p.282-317. Cambridge, MA: MIT Press
|
|
|
|
|
Koch, C. and S. Ullman (1985)
Shifts in selective visual attention: towards the underlying neural circuitry
, Human Neurobiology 4: p. 219-227
|
|
|
|
|
Levin, P.H. (1964)
Use of graphs to decide the optimum layout of buildings
, The Architects Journal: p. 809-817
|
|
|
|
|
Liu, Y.T. (1991)
Schematic-Designer: A knowledge-based CAD system for schematic design in architecture
, Design Studies 12, no. 3 (July): p.151-167
|
|
|
|
|
Liu, Y.T. (1993)
A connectionist approach to shape recognition and transformation
, CAAD Future "93, ed. U. Flemming and S. Van Wyk, p.19-36. Amsterdam: Elsevier
|
|
|
|
|
McClelland, J.L. and Rumelhart, D.E. (1989)
Explorations in parallel distributed processing
, Cambridge, MA: MIT Press
|
|
|
|
|
Minsky, M. and Papert, S. (1969)
Perceptrons
, Cambridge, MA: MIT Press
|
|
|
|
|
Mitchell, W.J. (1990)
The Logic of Architecture
, Cambridge, MA: MIT Press
|
|
|
|
|
Mitchell, W.J. (1992)
The uses of inconsistency in design
, Principles of computer-aided design: evaluating and predicting design performance. ed. Y E. Kalay, p.1-13. New York: John Wiley
|
|
|
|
|
Mozer, M.C. (1988)
A connectionist model of selective attention in visual perception
, Proceedings of the Tenth Annual Conference of the Cognitive Science Society, p.195-201. Hillsdale, NJ: Erlbaum
|
|
|
|
| last changed |
2022/06/07 07:59 |
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