Probabilistic semantics for nonmonotonic reasoning: a survey
Readings in uncertain reasoning
Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
What does a conditional knowledge base entail?
Artificial Intelligence
Institutions: abstract model theory for specification and programming
Journal of the ACM (JACM)
The emergence of ordered belief from initial ignorance
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Using Institutions for the Study of Qualitative and Quantitative Conditional Logics
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Formal similarities and differences among qualitative conditional semantics
International Journal of Approximate Reasoning
Looking at probabilistic conditionals from an institutional point of view
WCII'02 Proceedings of the 2002 international conference on Conditionals, Information, and Inference
Probabilistic approach to nonmonotonic consequence relations
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Semantical investigations into nonmonotonic and probabilistic logics
Annals of Mathematics and Artificial Intelligence
Transactions on Large-Scale Data- and Knowledge-Centered Systems VI
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Different forms of semantics have been proposed for conditionals of the form ”Usually, if A then B”, ranging from quantitative probability distributions to qualitative approaches using plausibility orderings or possibility distributions. Atomic-bound systems, also called big-stepped probabilities, allow qualitative reasoning with probabilities, aiming at bridging the gap between qualitative and quantitative argumentation and providing a model for the nonmonotonic reasoning system P. By using Goguen and Burstall's notion of institutions for the formalization of logical systems, we elaborate precisely which formal connections exist between big-stepped probabilities and standard probabilities, thereby establishing the exact relationships among these logics.