Using Data and Theory in Multistretegy (Mis)Concept(ion) Discovery

Sison, Rayond; Numao, Masayuki; Shimura, Masamichi

Using Data and Theory in Multistretegy (Mis)Concept(ion) Discovery

Rayond Sison, Masayuki Numao, Masamichi Shimura

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Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Cognitive Modeling. Pages 274-278.

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.

Rayond Sison, Masayuki Numao, and Masamichi Shimura. 1997. Using Data and Theory in Multistretegy (Mis)Concept(ion) Discovery. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97. IJCAI, 274–278. https://ijcai.org/proceedings/1997/41

@inproceedings{ijcai1997p41,
  title     = {Using Data and Theory in Multistretegy (Mis)Concept(ion) Discovery},
  author    = {Sison, Rayond and Numao, Masayuki and Shimura, Masamichi},
  booktitle = {Proceedings of the Fifteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-97}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Martha E. Pollack},
  pages     = {274--278},
  year      = {1997},
  note      = {Cognitive Modeling},
  url       = {https://ijcai.org/proceedings/1997/41},
}

TY  - CPAPER
TI  - Using Data and Theory in Multistretegy (Mis)Concept(ion) Discovery
AU  - Sison, Rayond
AU  - Numao, Masayuki
AU  - Shimura, Masamichi
T2  - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1997
SP  - 274
EP  - 278
UR  - https://ijcai.org/proceedings/1997/41
ER  -