Propositional knowledge base revision and minimal change
Artificial Intelligence
Propositional belief base update and minimal change
Artificial Intelligence
Combining Multiple Knowledge Bases
IEEE Transactions on Knowledge and Data Engineering
Arbitration (or How to Merge Knowledge Bases)
IEEE Transactions on Knowledge and Data Engineering
Artificial Intelligence - Special issue on nonmonotonic reasoning
Distance semantics for belief revision
TARK '96 Proceedings of the 6th conference on Theoretical aspects of rationality and knowledge
Revisions of knowledge systems using epistemic entrenchment
TARK '88 Proceedings of the 2nd conference on Theoretical aspects of reasoning about knowledge
JELIA '08 Proceedings of the 11th European conference on Logics in Artificial Intelligence
Logical foundations of negotiation: outcome, concession and adaptation
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Negotiation as mutual belief revision
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Revision of partially ordered information: axiomatization, semantics and iteration
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
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In this paper we introduce confluence operators, that are inspired by the existing links between belief revision, update and merging operators. Roughly, update operators can be considered as pointwise revision, whereas revision operators can be considered as special case of merging operators. Confluence operators are to merging operators what update operators are to revision operators. Similarly, update operators can be considered as special case of confluence operators just as revision can be considered as special case of merging operators. Confluence operators gives all possible agreement situations from a set of belief bases.