{"pk":29058,"title":"Learning a novel rule-based conceptual system","subtitle":null,"abstract":"Humans have developed complex rule-based systems to explain and exploit the world around them. When a learner hasalready mastered a system’s core dynamicsidentifying its primitives and their interrelationsfurther learning can be effec-tively modeled as discovering useful compositions of these primitives. It nevertheless remains unclear how the dynamicsthemselves might initially be acquired. Composing primitives is no longer a viable strategy, as the primitives themselvesare what must be explained. To explore this problem, we introduce and assess a novel concept learning paradigm in whichparticipants use a two-alternative forced-choice task to learn an unfamiliar rule-based conceptual system: the MUI system(Hofstadter, 1980). We show that participants reliably learn this system given a few dozen examples of the systems rules,leaving open the mechanism by which novel conceptual systems are acquired but providing a useful paradigm for furtherstudy.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Poster Presentations with Abstracts","is_remote":true,"remote_url":"https://escholarship.org/uc/item/6j3214nc","frozenauthors":[{"first_name":"Joshua","middle_name":"","last_name":"Rule","name_suffix":"","institution":"Massachusetts Institute of Technology","department":""},{"first_name":"Josh","middle_name":"","last_name":"Tenenbaum","name_suffix":"","institution":"Massachusetts Institute of Technology","department":""},{"first_name":"Steven","middle_name":"","last_name":"Piantadosi","name_suffix":"","institution":"University of California, Berkeley","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2019-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/29058/galley/18929/download/"}]}