• DocumentCode
    3305280
  • Title

    Prototypes and similarity: concept formation

  • Author

    Hadzikadic, Mirsad

  • Author_Institution
    Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA
  • fYear
    1989
  • fDate
    9-12 Apr 1989
  • Firstpage
    19
  • Abstract
    The notion of similarity is fundamental to theories of perception, judgement, and learning. Two approaches to similarity are evaluated: (1) similarity based only on common features, and (b) similarity based on both similar and distinctive features. Events are represented by a set of attribute-value pairs. Each concept is defined in the form of a prototypical description that summarizes previously seen members. INC, an incremental conceptual clustering system, has been used as a tool for evaluating the proposed similarity measures
  • Keywords
    knowledge representation; INC; attribute-value pairs; incremental conceptual clustering; judgement; learning; notion of similarity; perception; prototypical description; Animal structures; Computer science; Event detection; Frequency; Humans; Knowledge representation; Learning systems; Pattern recognition; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon '89. Proceedings. Energy and Information Technologies in the Southeast., IEEE
  • Conference_Location
    Columbia, SC
  • Type

    conf

  • DOI
    10.1109/SECON.1989.132309
  • Filename
    132309