{"type":"ScholarlyArticle","title":"Using Data and Theory in Multistretegy (Mis)Concept(ion) Discovery","authors":[{"name":"Rayond Sison","slug":"rayond-sison","given":"Rayond","family":"Sison","affiliation":""},{"name":"Masayuki Numao","slug":"masayuki-numao","given":"Masayuki","family":"Numao","affiliation":""},{"name":"Masamichi Shimura","slug":"masamichi-shimura","given":"Masamichi","family":"Shimura","affiliation":""}],"abstract":"Most conceptual clustering systems rely solely on data to form concepts without supervision; the few that exploit causalities in the background knowledge do so only after the completion of a similarity-based learning phase. In this paper, we describe a multistrategy miconception discovery system, MMD, that utilizes data and theory in a more tightly coupled way. The integration of similarity- and causality- based learning in MMD is shown to be essential for the automatic construction of accurate and meaningful misconceptions that account for errors in novice behavior.","doi":null,"url":"https://ijcai.org/proceedings/1997/41","pdf":"https://ijcai.org/proceedings/1997/0041.pdf","markdown":"https://ijcai.org/proceedings/1997/41.md","bibtex":"https://ijcai.org/proceedings/1997/bibtex/41","volume":{"slug":"1997","title":"Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1997","url":"https://ijcai.org/proceedings/1997/","year":1997,"location":"Nagoya, Japan","dates":"","editors":"Martha E. Pollack","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Cognitive Modeling","track":"Cognitive Modeling","number":41,"pages":{"first":274,"last":278},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}