ML Anthology

Using Attention in Belief Revision

Xueming Huang, Gordon I. McCalla, Eric Neufeld
AAAI 1991 pp. 275-280
/aaai/1991/huang1991aaai-using/

Abstract

Belief revision for an intelligent system is usually computationally expensive. Here we tackle this problem by using focus in belief revision: that is, revision occurs only in a subset of beliefs under attention (or in focus). Attention can be shifted within the belief base, thus allowing use and revision of other subsets of beliefs. This attention-shifting belief revision architecture shows promise to allow efficient and natural revision of belief bases.

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Cite

Text

Huang et al. "Using Attention in Belief Revision." AAAI Conference on Artificial Intelligence, 1991.

Markdown

[Huang et al. "Using Attention in Belief Revision." AAAI Conference on Artificial Intelligence, 1991.](https://mlanthology.org/aaai/1991/huang1991aaai-using/)

BibTeX

@inproceedings{huang1991aaai-using,
  title     = {{Using Attention in Belief Revision}},
  author    = {Huang, Xueming and McCalla, Gordon I. and Neufeld, Eric},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1991},
  pages     = {275-280},
  url       = {https://mlanthology.org/aaai/1991/huang1991aaai-using/}
}