ML Anthology

Optimal Testing of Structured Knowledge

Michael Munie, Yoav Shoham
AAAI 2008 pp. 1069-1074
/aaai/2008/munie2008aaai-optimal/

Abstract

Adopting a decision-theoretic perspective, we investigate the problem of optimal testing of structured knowledge – the canonical example being a qualifying examination of a graduate student. The setting is characterized by several factors: examinee’s knowledge structured around several inter-dependent topics, a limited “budget ” of questions available to the examiner, a decision to be made (pass/fail), and an utility for good and bad decisions. The existence of multiple professors brings up additional issues such as committee formation, and the existence of multiple students brings up issues such as fairness. 1.

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Cite

Text

Munie and Shoham. "Optimal Testing of Structured Knowledge." AAAI Conference on Artificial Intelligence, 2008.

Markdown

[Munie and Shoham. "Optimal Testing of Structured Knowledge." AAAI Conference on Artificial Intelligence, 2008.](https://mlanthology.org/aaai/2008/munie2008aaai-optimal/)

BibTeX

@inproceedings{munie2008aaai-optimal,
  title     = {{Optimal Testing of Structured Knowledge}},
  author    = {Munie, Michael and Shoham, Yoav},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2008},
  pages     = {1069-1074},
  url       = {https://mlanthology.org/aaai/2008/munie2008aaai-optimal/}
}