Article Instance
API Endpoint for journals.
GET /api/articles/31751/?format=api
{ "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": "1993-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31751/galley/22819/download/" } ] }