Identifying dynamic sequential plans

Jin Tian

Identifying dynamic sequential plans

Jin Tian

Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence, PMLR R6:554-561, 2008.

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 identification algorithms available in the literature.

Cite this Paper

BibTeX

@InProceedings{pmlr-vR6-tian08a,
  title = 	 {Identifying dynamic sequential plans},
  author =       {Tian, Jin},
  booktitle = 	 {Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence},
  pages = 	 {554--561},
  year = 	 {2008},
  editor = 	 {McAllester, David A. and Myllymäki, Petri},
  volume = 	 {R6},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {09--12 Jul},
  publisher =    {PMLR},
  pdf = 	 {https://raw.githubusercontent.com/mlresearch/r6/main/assets/tian08a/tian08a.pdf},
  url = 	 {https://proceedings.mlr.press/r6/tian08a.html},
  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 identification algorithms available in the literature.},
  note =         {Reissued by PMLR on 09 October 2024.}
}

Endnote

%0 Conference Paper
%T Identifying dynamic sequential plans
%A Jin Tian
%B Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence
%C Proceedings of Machine Learning Research
%D 2008
%E David A. McAllester
%E Petri Myllymäki	
%F pmlr-vR6-tian08a
%I PMLR
%P 554--561
%U https://proceedings.mlr.press/r6/tian08a.html
%V R6
%X 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 identification algorithms available in the literature.
%Z Reissued by PMLR on 09 October 2024.

APA

Tian, J.. (2008). Identifying dynamic sequential plans. Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence, in Proceedings of Machine Learning Research R6:554-561 Available from https://proceedings.mlr.press/r6/tian08a.html. Reissued by PMLR on 09 October 2024.

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