• DocumentCode
    929368
  • Title

    An efficient feature-based connectionist inheritance scheme

  • Author

    Sun, Ron

  • Author_Institution
    Dept. of Comput. Sci., Alabama Univ., Tuscaloosa, AL, USA
  • Volume
    23
  • Issue
    2
  • fYear
    1993
  • Firstpage
    512
  • Lastpage
    522
  • Abstract
    A connectionist model that deals with the inheritance problem in an efficient and natural way is described. Based on the connectionist architecture CONSYDERR, the author analyses the problem of property inheritance and formulates it in ways facilitating conceptual clarity and connectionist implementation. A set of benchmarks is specified for ensuring the correctness of solution mechanisms. Parameters of CONSYDERR are formally derived to satisfy these benchmark requirements. The author also discusses how chaining of is-a links and multiple inheritance can be handled in this architecture. It is shown that CONSYDERR with a two-level dual (localist and distributed) representation can handle inheritance and cancellation of inheritance correctly and extremely efficiently, in constant time instead of proportional to the length of a chain in an inheritance hierarchy. The utility of a meaning-oriented intensional approach (with features) is demonstrated for supplementing and enhancing extensional approaches
  • Keywords
    inheritance; neural nets; parallel architectures; CONSYDERR; benchmarks; connectionist architecture; distributed representation; efficient feature-based connectionist inheritance scheme; extensional approaches; inheritance cancellation; inheritance hierarchy; is-a link chaining; localist representation; meaning-oriented intensional approach; multiple inheritance; two-level dual representation; Artificial intelligence; Buildings; Fuzzy set theory; Intelligent structures; Intelligent systems; Knowledge representation; Lattices; Mathematical analysis; Sun;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.229463
  • Filename
    229463