Objection-Based Causal Exception Networks
Abstract
This paper introduces the notion of objection-based causal networks which resemble probabilistic causal networks except that they are quantified using objections. An objection is a logical sentence and denotes a condition under which a causal dependency does not exist. Objection-based causal networks enjoy almost all the properties that make probabilistic causal networks popular, with the added advantage that objections are, arguably more intuitive than probabilities.
Cite
Text
Darwiche. "Objection-Based Causal Exception Networks." Conference on Uncertainty in Artificial Intelligence, 1992.Markdown
[Darwiche. "Objection-Based Causal Exception Networks." Conference on Uncertainty in Artificial Intelligence, 1992.](https://mlanthology.org/uai/1992/darwiche1992uai-objection/)BibTeX
@inproceedings{darwiche1992uai-objection,
title = {{Objection-Based Causal Exception Networks}},
author = {Darwiche, Adnan},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1992},
pages = {67-73},
url = {https://mlanthology.org/uai/1992/darwiche1992uai-objection/}
}