{"pk":31751,"title":"Generalizations by Rule Models and Exemplar Models of Category Learning","subtitle":null,"abstract":"A rule-plus-exception model of category\nlearning, RULEX  (Nosofsky, Palmeri, &\nMcKinley, 1992), and an exemplar-based\nconnectionist model of category learning,\nA L C O V E (Kxuschke, 1992), were evaluated on\ntheir ability to predict the types of generalization\npatterns exhibited by h u m a n subjects. Although\nboth models were able to predict the average\ntransfer data extremely well, each model had\ndifficulty predicting certain types of\ngeneralizations shown by individual subjects. In\nparticular, RULEX accurately predicted the\nprominence of rule-based generalizations,\nwhereas A L C O V E accurately predicted the\nprominence of similarity-based generalizations.\nA hybrid model, incorporating both rules and\nsimilarity to exemplars, might best account for\ncategory learning. Furthermore, a stochastic\nlearning rule, such as that used in RULEX ,\nmight be crucial for captiiring the different types\nof generalizations patterns exhibited by\nh u m a n s .","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Submitted Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/537696zr","frozenauthors":[{"first_name":"Thomas","middle_name":"J.","last_name":"Palmeri","name_suffix":"","institution":"Indiana University","department":""},{"first_name":"Robert","middle_name":"M.","last_name":"Nosofsky","name_suffix":"","institution":"Indiana University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1993-01-01T10:00:00-08:00","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/31751/galley/22819/download/"}]}