Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Epistemic entrenchment and possibilistic logic
Artificial Intelligence
Possibility Theory and Independence
IPMU'94 Selected papers from the 5th International Conference on Processing and Management of Uncertainty in Knowledge-Based Systems, Advances in Intelligent Computing
Formal Properties of Conditional Independence in Different Calculi of AI
ECSQARU '93 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
A Conditional Logic for Updating in the Possible Models Approach
KI '94 Proceedings of the 18th Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Relations between the logic of theory change and nonmonotonic logic
Proceedings of the Workshop on The Logic of Theory Change
Propositional independence: formula-variable independence and forgetting
Journal of Artificial Intelligence Research
Qualitative relevance and independence: a roadmap
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Iterated belief revision, revised
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
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It is a very natural requirement for belief change operations that formulas that are independent of a given update should be preserved. Such a proposal has already been made by Gärdenfors (1990). In this perspective we study the links between belief change and the notion of dependence, our aim being to give dependence axioms able to characterize the AGM postulates. Proceeding exactly in the same way as Gärdenfors (1988) did in the case of epistemic entrenchment, we show how a given dependence relation can be used to define a contraction operation, and the other way round we show how an independence relation can be obtained from a given contraction operation. The grande finale is a characterization theorem.