Probabilistic student models: Bayesian Belief Networks and Knowledge Space Theory

Author:

Villano Michael

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Andersen, S. K., Olesen, K. G., Jensen, F. V. & Jensen, F. (1989). HUGIN-A shell for building Bayesian belief universes for expert systems. In N. S. Sridharan (Ed.), Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, 2 (pp. 1080–1085). San Mateo, CA: Morgan Kaufmann.

2. Charniak, E. (1991) Bayesian networks without tears. AI Magazine, 12, (4), 50–63.

3. Doignon, J.-P., & Falmagne, J.-C. (1985). Spaces for the assessment of knowledge. International Journal of Man-Machine Studies, 23, 175–196.

4. Falmagne, J.-C. & Doignon, J.-P. (1988). A class of stochastic procedures for the assessment of knowledge. British Journal of Mathematical and Statistical Psychology, 41, 1–23.

5. Falmagne, J.-C., Koppen, M., Villano, M., Doignon, J.-P., Johannesen, L. (1990). Introduction to knowledge spaces: How to build, test, and search them. Psychological Review, 97(2), 201–224.

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