SPIDA: Abstracting and generalizing layout design cases

D. Manfaat, A.H.D. Duffy, B.S. Lee

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
127 Downloads (Pure)


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).
Original languageEnglish
Pages (from-to)141-159
Number of pages19
JournalAI EDAM - Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Issue number2
Publication statusPublished - 1998


  • abstraction
  • generalization
  • machine learning
  • pattern matching
  • spatial layout design
  • artificial intelligence


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