Uncertainty in Artificial Intelligence
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Causes and Explanations in the Structural-Model Approach: Tractable Cases
Thomas Eiter, Thomas Lukasiewicz
Abstract:
In this paper, we continue our research on the algorithmic aspects of Halpern and Pearl's causes and explanations in the structural-model approach. To this end, we present new characterizations of weak causes for certain classes of causal models, which show that under suitable restrictions deciding causes and explanations is tractable. To our knowledge, these are the first explicit tractability results for the structural-model approach.
Keywords:
Pages: 146-153
PS Link:
PDF Link: /papers/02/p146-eiter.pdf
BibTex:
@INPROCEEDINGS{Eiter02,
AUTHOR = "Thomas Eiter and Thomas Lukasiewicz",
TITLE = "Causes and Explanations in the Structural-Model Approach: Tractable Cases",
BOOKTITLE = "Proceedings of the Eighteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-02)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "2002",
PAGES = "146--153"
}


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