Identifying Dynamic Sequential Plans
Artificial Intelligence
2012-06-18 v1
Abstract
We address the problem of identifying dynamic sequential plans in the framework of causal Bayesian networks, and show that the problem is reduced to identifying causal effects, for which there are complete identi cation algorithms available in the literature.
Keywords
Cite
@article{arxiv.1206.3292,
title = {Identifying Dynamic Sequential Plans},
author = {Jin Tian},
journal= {arXiv preprint arXiv:1206.3292},
year = {2012}
}
Comments
Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008)