Stephen José Hanson|Malcolm Bauer
College of the Mainland|Core Competence|Princeton University|College of the Mainland|Core Competence|Princeton University
paper describe witt computational model categorization conceptual clustering motivated guided research human categorizationproperties categories humans sensitive include best prototypical members relative contrasts categories polymorphy neither necessary sufficient feature rulesthe system uses pairwise feature correlations determine similarity objects clusters objects allowing system flexible representation scheme model commonfeature categories polymorphous categoriesthis intercorrelation measure cast terms informationtheoretic evaluation function directs witts search space clusteringsthis informationtheoretic similarity metric also used explain basiclevel typicality effects occur humanswitt tested artificial domains data 1985 world almanac examined effect various system parameters quality models behavior