ML Anthology

Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report

Tze-Yun Leong
UAI 1992 pp. 166-173
doi:10.1016/B978-1-4832-8287-9.50028-1 /uai/1992/leong1992uai-representing/

Abstract

Automated decision making is often complicated by the complexity of the knowledge involved. Much of this complexity arises from the context sensitive variations of the underlying phenomena. We propose a framework for representing descriptive, context-sensitive knowledge. Our approach attempts to integrate categorical and uncertain knowledge in a network formalism. This paper outlines the basic representation constructs, examines their expressiveness and efficiency, and discusses the potential applications of the framework.

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Text

Leong. "Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report." Conference on Uncertainty in Artificial Intelligence, 1992. doi:10.1016/B978-1-4832-8287-9.50028-1

Markdown

[Leong. "Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report." Conference on Uncertainty in Artificial Intelligence, 1992.](https://mlanthology.org/uai/1992/leong1992uai-representing/) doi:10.1016/B978-1-4832-8287-9.50028-1

BibTeX

@inproceedings{leong1992uai-representing,
  title     = {{Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report}},
  author    = {Leong, Tze-Yun},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1992},
  pages     = {166-173},
  doi       = {10.1016/B978-1-4832-8287-9.50028-1},
  url       = {https://mlanthology.org/uai/1992/leong1992uai-representing/}
}