Abstract
A general notion of algebraic conditional plausibility measures is defined. Probability measures, ranking functions, possibility measures, and (under the appropriate definitions) sets of probability measures can all be viewed as defining algebraic conditional plausibility measures. It is shown that algebraic conditional plausibility measures can be represented using Bayesian networks. ©2001 AI Access Foundation and Morgan Kaufmann Publishers. All rights reserved.
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CITATION STYLE
Halpern, J. Y. (2001). Conditional plausibility measures and Bayesian networks. Journal of Artificial Intelligence Research, 14, 369–399. https://doi.org/10.1613/jair.817
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