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
Link To Document :
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