Nonmonotonic Model Inference-A Formalization of Student Modeling
Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Intelligent Tutoring Systems. Pages 467-475.
Abstract
A student model description language and its synthesis method are presented. The language called SMDL is based on a logic programming language taking 4 truth values such as true, false , unknown and fail. A modeling method called HSMIS is a new nonmonotonic model inference system and has the following major characteristics: ( 1) Model inference of logic program taking 4 truth values, (2)Treatment of nonmonotonicity of both student 's belief and inference process itself. HSMIS incorporates de Kleer's ATMS as a vehicle for formulating the nonmonotonicity. Both SMDL interpreter and HSMIS have been implemented in Common ESP(Extended Self-contained Prolog) and incorporated into a framework for ITS, called FITS.
@inproceedings{ijcai1993p66,
title = {Nonmonotonic Model Inference-A Formalization of Student Modeling},
author = {Ikeda, Mitsuru and Kono, Yasuyuki and Mizoguchi, Riichiro},
booktitle = {Proceedings of the Thirteenth International Joint Conference on
Artificial Intelligence, {IJCAI-93}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ruzena Bajcsy},
pages = {467--475},
year = {1993},
note = {Intelligent Tutoring Systems},
url = {https://ijcai.org/proceedings/1993/66},
}
TY - CPAPER TI - Nonmonotonic Model Inference-A Formalization of Student Modeling AU - Ikeda, Mitsuru AU - Kono, Yasuyuki AU - Mizoguchi, Riichiro T2 - Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 PB - International Joint Conferences on Artificial Intelligence PY - 1993 SP - 467 EP - 475 UR - https://ijcai.org/proceedings/1993/66 ER -Copied
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