Objection-Based Causal Networks
Artificial Intelligence
2013-03-25 v1
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
@article{arxiv.1303.5400,
title = {Objection-Based Causal Networks},
author = {Adnan Darwiche},
journal= {arXiv preprint arXiv:1303.5400},
year = {2013}
}
Comments
Appears in Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (UAI1992)