Explanation, Irrelevance, and Statistical Independence
Abstract
We evaluate current explanation schemes. These are either insufficiently general, or suffer from other serious drawbacks. We propose a domain-independent explanation system that is based on ignoring irrelevant variables in a probabilistic setting. We then prove important properties of some specific irrelevance-based schemes and discuss how to implement them.
Cite
Text
Shimony. "Explanation, Irrelevance, and Statistical Independence." AAAI Conference on Artificial Intelligence, 1991.Markdown
[Shimony. "Explanation, Irrelevance, and Statistical Independence." AAAI Conference on Artificial Intelligence, 1991.](https://mlanthology.org/aaai/1991/shimony1991aaai-explanation/)BibTeX
@inproceedings{shimony1991aaai-explanation,
title = {{Explanation, Irrelevance, and Statistical Independence}},
author = {Shimony, Solomon Eyal},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1991},
pages = {482-487},
url = {https://mlanthology.org/aaai/1991/shimony1991aaai-explanation/}
}