Repairing Incorrect Knowledge with Model Formulation and Metareasoning

Friedman, Scott E.; Forbus, Kenneth D.

doi:10.5591/978-1-57735-516-8/IJCAI11-154

Repairing Incorrect Knowledge with Model Formulation and Metareasoning

Scott E. Friedman, Kenneth D. Forbus

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 887-892.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-154

Abstract

Learning concepts via instruction and expository texts is an important problem for modeling human learning and for making autonomous AI systems. This paper describes a computational model of the self-explanation effect, whereby conceptual knowledge is repaired by integrating and explaining new material. Our model represents conceptual knowledge with compositional model fragments, which are used to explain new material via model formulation. Preferences are computed over explanations and conceptual knowledge, along several dimensions. These preferences guide knowledge integration and question-answering. Our simulation learns about the human circulatory system, using facts from a circulatory system passage used in a previous cognitive psychology experiment. We analyze the simulation’s performance, showing that individual differences in sequences of models learned by students can be explained by different parameter settings in our model.

Scott E. Friedman, and Kenneth D. Forbus. 2011. Repairing Incorrect Knowledge with Model Formulation and Metareasoning. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 887–892. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-154

@inproceedings{ijcai2011p154,
  title     = {Repairing Incorrect Knowledge with Model Formulation and Metareasoning},
  author    = {Friedman, Scott E. and Forbus, Kenneth D.},
  booktitle = {Proceedings of the Twenty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-11}},
  publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
  editor    = {Toby Walsh},
  pages     = {887--892},
  year      = {2011},
  month     = {7},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-154},
  url       = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-154},
}

TY  - CPAPER
TI  - Repairing Incorrect Knowledge with Model Formulation and Metareasoning
AU  - Friedman, Scott E.
AU  - Forbus, Kenneth D.
T2  - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11
PB  - AAAI Press/International Joint Conferences on Artificial Intelligence
PY  - 2011
SP  - 887
EP  - 892
DO  - 10.5591/978-1-57735-516-8/IJCAI11-154
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ER  -