ML Anthology

The QBKG System: Generating Explanations from a Non-Discrete Knowledge Representation

Hans J. Berliner, David H. Ackley
AAAI 1982 pp. 213-216
/aaai/1982/berliner1982aaai-qbkg/

Abstract

The QBKG system produces critical analyses of possible moves for a wide variety of backgammon positions, using a hierarchically structurcd. non-discrete form of knowledge representation. This report compares discrete and continuous representations and reasoning systems, addressing issues of competence, robustness, and explainability. The QBKG system is described and demonstrated.

PDF AAAI Semantic Scholar

Cite

Text

Berliner and Ackley. "The QBKG System: Generating Explanations from a Non-Discrete Knowledge Representation." AAAI Conference on Artificial Intelligence, 1982.

Markdown

[Berliner and Ackley. "The QBKG System: Generating Explanations from a Non-Discrete Knowledge Representation." AAAI Conference on Artificial Intelligence, 1982.](https://mlanthology.org/aaai/1982/berliner1982aaai-qbkg/)

BibTeX

@inproceedings{berliner1982aaai-qbkg,
  title     = {{The QBKG System: Generating Explanations from a Non-Discrete Knowledge Representation}},
  author    = {Berliner, Hans J. and Ackley, David H.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1982},
  pages     = {213-216},
  url       = {https://mlanthology.org/aaai/1982/berliner1982aaai-qbkg/}
}