Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
An introduction to possibilistic and fuzzy logics
Readings in uncertain reasoning
A symbolic generalization of probability theory
A symbolic generalization of probability theory
Independence concepts in possibility theory: part I
Fuzzy Sets and Systems
Artificial Intelligence
Fuzzy Measure Theory
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Conditional Plausibility Measures and Bayesian Networks
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Separation Properties of Sets of Probability Measures
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Axioms for probability and belief-function proagation
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
A new approach to updating beliefs
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Irrelevance and independence relations in Quasi-Bayesian networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Independence concepts for convex sets of probabilities
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Plausibility measures: a user's guide
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Plausibility measures and default reasoning
Journal of the ACM (JACM)
Qualitative reasoning under ignorance and information-relevant extraction
Knowledge and Information Systems
Great expectations: part II: Generalized expected utility as a universal decision rule
Artificial Intelligence
Decision with uncertainties, feasibilities, and utilities: towards a unified algebraic framework
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
An algebraic graphical model for decision with uncertainties, feasibilities, and utilities
Journal of Artificial Intelligence Research
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
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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.