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SPIDA: Abstracting and generalizing layout design cases

Manfaat, D. and Duffy, A.H.D. and Lee, B.S. (1998) SPIDA: Abstracting and generalizing layout design cases. AI EDAM - Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 12 (2). pp. 141-159. ISSN 0890-0604

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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).

    Item type: Article
    ID code: 6428
    Keywords: abstraction, generalization, machine learning, pattern matching, spatial layout design, artificial intelligence, Electronic computers. Computer science, Engineering (General). Civil engineering (General), Engineering design, Artificial Intelligence, Industrial and Manufacturing Engineering
    Subjects: Science > Mathematics > Electronic computers. Computer science
    Technology > Engineering (General). Civil engineering (General)
    Technology > Engineering (General). Civil engineering (General) > Engineering design
    Department: Faculty of Engineering > Design, Manufacture and Engineering Management
    Faculty of Engineering > Naval Architecture and Marine Engineering
    Related URLs:
      Depositing user: Miss Caroline Torres
      Date Deposited: 03 Jul 2008
      Last modified: 02 Jul 2014 16:41
      URI: http://strathprints.strath.ac.uk/id/eprint/6428

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