Uncertainty in Artificial Intelligence
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Objection-Based Causal Networks
Adnan Darwiche
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.
Pages: 67-73
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PDF Link: /papers/92/p67-darwiche.pdf
AUTHOR = "Adnan Darwiche ",
TITLE = "Objection-Based Causal Networks",
BOOKTITLE = "Proceedings of the Eighth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-92)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1992",
PAGES = "67--73"

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