{"pk":31956,"title":"Can Symbolic Algorithms Model Cognitive Development?","subtitle":null,"abstract":"Symbolic decision-tree learning algorithms can provide a powerful and accurate transition mechanism for modeling cognitive development. They are valid alternatives to connectionist models.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Submitted Symposia","is_remote":true,"remote_url":"https://escholarship.org/uc/item/6f23q9gh","frozenauthors":[{"first_name":"Charles","middle_name":"X.","last_name":"Ling","name_suffix":"","institution":"Department of Computer Science, The University of Hong Kong","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1996-01-01T13:00:00-05:00","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/31956/galley/23021/download/"}]}