{"pk":33134,"title":"Learning Sets of Related Concepts : A Shared Task Model","subtitle":null,"abstract":"We investigate learning a set of causally related concepts from examples. W e show that human subjects make fewer errors and learn more rapidly when the set of concepts is logically consistent. W e compare the results of these subjects to subjects learning equivalent concepts that share sets of relevant features, but are not logically consistent. W e present a shared-task neural network model simulation of the psychological experimentation.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"17","is_remote":true,"remote_url":"https://escholarship.org/uc/item/4th4q43w","frozenauthors":[{"first_name":"Tim","middle_name":"","last_name":"Hume","name_suffix":"","institution":"University of California, Irvine","department":""},{"first_name":"Michael","middle_name":"J.","last_name":"Pazzani","name_suffix":"","institution":"University of California, Irvine","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1995-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/33134/galley/24195/download/"}]}