Uncertainty in Artificial Intelligence
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Identifying Dynamic Sequential Plans
Jin Tian
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:
Pages: 554-561
PS Link:
PDF Link: /papers/08/p554-tian.pdf
BibTex:
@INPROCEEDINGS{Tian08,
AUTHOR = "Jin Tian ",
TITLE = "Identifying Dynamic Sequential Plans",
BOOKTITLE = "Proceedings of the Twenty-Fourth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-08)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "2008",
PAGES = "554--561"
}


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