Handbook of logic in artificial intelligence and logic programming (vol. 3)
Possibilistic Merging and Distance-Based Fusion of Propositional Information
Annals of Mathematics and Artificial Intelligence
Measuring inconsistency in knowledge via quasi-classical models
Eighteenth national conference on Artificial intelligence
A survey on knowledge compilation
AI Communications
Making argumentation more believable
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Quantifying information and contradiction in propositional logic through test actions
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Adaptive Merging of Prioritized Knowledge Bases
Fundamenta Informaticae
Information and Software Technology
Coherence measures and their relation to fuzzy similarity and inconsistency in knowledge bases
Artificial Intelligence Review
Analysing inconsistent first-order knowledgebases
Artificial Intelligence
On the Definition of Essential and Contingent Properties of Subjective Belief Bases
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Knowledge and Information Systems
Editorial: Acquiring knowledge from inconsistent data sources through weighting
Data & Knowledge Engineering
Multiple semi-revision in possibilistic logic
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Adaptive Merging of Prioritized Knowledge Bases
Fundamenta Informaticae
Measuring inconsistency through minimal proofs
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Approaches to measuring inconsistency for stratified knowledge bases
International Journal of Approximate Reasoning
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In this paper, we investigate the relationship between two prioritized knowledge bases by measuring both the conflict and the agreement between them. First of all, a quantity of conflict and two quantities of agreement are defined. The former is shown to be a generalization of the Dalal distance. The latter are, respectively, a quantity of strong agreement which measures the amount of information on which two belief bases "totally" agree, and a quantity of weak agreement which measures the amount of information that is believed by one source but is unknown to the other. All three quantity measures are based on the weighted prime implicant, which represents beliefs in a prioritized belief base. We then define a degree of conflict and two degrees of agreement based on our quantity of conflict and the quantities of agreement. We also consider the impact of these measures on belief merging and information source ordering.