Geodesic
Building adaptive tests using Bayesian networks
Kybernetika, Tome 40 (2004) no. 3, p. [333]

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We propose a framework for building decision strategies using Bayesian network models and discuss its application to adaptive testing. Dynamic programming and $AO^{\star }$ algorithm are used to find optimal adaptive tests. The proposed $AO^{\star }$ algorithm is based on a new admissible heuristic function.
Classification : 68T05, 68T20, 68T30, 68T37
Keywords: Bayesian networks; adaptive testing; heuristic search 
@article{KYB_2004__40_3_a5,
     author = {Vomlel, Ji\v{r}{\'\i}},
     title = {Building adaptive tests using {Bayesian} networks},
     journal = {Kybernetika},
     pages = {[333]},
     publisher = {mathdoc},
     volume = {40},
     number = {3},
     year = {2004},
     mrnumber = {2103934},
     zbl = {1249.68174},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/KYB_2004__40_3_a5/}
}
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Vomlel, Jiří. Building adaptive tests using Bayesian networks. Kybernetika, Tome 40 (2004) no. 3, p. [333]. http://geodesic.mathdoc.fr/item/KYB_2004__40_3_a5/