{"pk":30456,"title":"Building a Computer Model of Learning Classical Mechanics","subtitle":null,"abstract":"A computational model of learning in a complex domain is described an its implementation is discussed. The model supports knowledge-based acquisition of problem-solving concepts from observed examples, in the domain of physics problem-solving. The system currently learns aobut momentum conservation, in a psychologically plausible fashion form a background knowledge of Newton's laws and the calculus. In its contribution to machine learning, this research is important for artifical intelligence. From a psychological perspective it demonstrates the computational consistency of a machanism tha tmay underlie human learning iin a complex domain. This work also has implications for computer-adied instruction, in that it advances a  learning model for a complicated domain involving both symbolic and numerical reasoning.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Poster Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/5c04p5q4","frozenauthors":[{"first_name":"Judea","middle_name":"W.","last_name":"Shavlik","name_suffix":"","institution":"University of Illinois at Urbana-Champaign","department":""},{"first_name":"Gerald","middle_name":"F.","last_name":"DeJong","name_suffix":"","institution":"","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1985-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/30456/galley/20305/download/"}]}