Artificial Intelligence
Conditional logics of belief change
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Conditionals
Epistemic conditionals, snakes and stars
Conditionals
On the logic of iterated belief revision
Artificial Intelligence
Counterfactuals and Updates as Inverse Modalities
Journal of Logic, Language and Information
Asking About Posibilities - Revision and Update Semantics for Subjunctive Queries
Foundation of Knowledge Representation and Reasoning [the book grew out of an ECAI-92 workshop]
Proceedings of the Workshop on The Logic of Theory Change
A unified view of consequence relation, belief revision and conditional logic
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Conditional and Preferential Logics: Proof Methods and Theorem Proving
Proceedings of the 2010 conference on Conditional and Preferential Logics: Proof Methods and Theorem Proving
Conditioning by minimizing accessibility
LOFT'08 Proceedings of the 8th international conference on Logic and the foundations of game and decision theory
Preferential semantics for the logic of comparative similarity over triangular and metric models
JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
Nested sequent calculi for conditional logics
JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
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We reformulate AGM postulates for belief revision systems that may contain conditional formulas. We show that we can establish a mapping between belief revision systems and conditionals by means of the so called Ramsey Test, without incurring Gardenfors triviality result. We then derive the conditional logic BCR from our revision postulates by means of a strong version of the Ramsey Test. We give a sound and complete axiomatization of this logic with respect to its standard selection-function models semantics, and we prove its decidability. We finally show that there is an isomorphism between belief revision systems and selection function models of BCR via a representation theorem. The logic BCR provides a logical formalization of belief revision in the language of conditional logic.