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SPIDA: Abstracting and generalizing layout design cases

Published online by Cambridge University Press:  01 April 1998

D. MANFAAT ,
A.H.B. DUFFY  and
B.S. LEE
D. MANFAAT
Affiliation:
CAD Centre, Department of Design, Manufacture and Engineering Management, University of Strathclyde, 75 Montrose Street, Glasgow G11XJ, Scotland, UK Department of Ship and Marine Technology, University of Strathclyde, 100 Montrose Street, Glasgow G40LZ, Scotland, UK
A.H.B. DUFFY
Affiliation:
CAD Centre, Department of Design, Manufacture and Engineering Management, University of Strathclyde, 75 Montrose Street, Glasgow G11XJ, Scotland, UK
B.S. LEE
Affiliation:
Department of Ship and Marine Technology, University of Strathclyde, 100 Montrose Street, Glasgow G40LZ, Scotland, UK
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Abstract

Abstraction and generalization of layout design cases generate new knowledge that is more widely applicable to use than specific design cases. The abstraction and generalization of design cases into hierarchical levels of abstractions provide the designer with the flexibility to apply any level of abstract and generalized knowledge for a new layout design problem. Existing case-based layout learning (CBLL) systems abstract and generalize cases into single levels of abstractions, but not into a hierarchy. In this paper, we propose a new approach, termed customized viewpoint—spatial (CV–S), which supports the generalization and abstraction of spatial layouts into hierarchies along with a supporting system, SPIDA (SPatial Intelligent Design Assistant).

Keywords

AbstractionGeneralizationMachine LearningPattern MatchingSpatial Layout Design
Type
Research Article
Information
AI EDAM , Volume 12 , Issue 2 , April 1998 , pp. 141 - 159
Copyright
© 1998 Cambridge University Press

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