Combining databases with prioritized information
Journal of Intelligent Information Systems
Integration of weighted knowledge bases
Artificial Intelligence
Combining Multiple Knowledge Bases
IEEE Transactions on Knowledge and Data Engineering
Merging with Integrity Constraints
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Answering Queries Addressed to Several Databases According to a Majority Merging Approach
Journal of Intelligent Information Systems
A modal logic framework for multi-agent belief fusion
ACM Transactions on Computational Logic (TOCL)
Proving theorems in a multi-source environment
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Proof Theory for Distributed Knowledge
Computational Logic in Multi-Agent Systems
A modal framework for relating belief and signed information
CLIMA'11 Proceedings of the 12th international conference on Computational logic in multi-agent systems
Policy-based inconsistency management in relational databases
International Journal of Approximate Reasoning
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This paper addresses the problem of merging beliefs provided by several sources which can be contradictory. Among the different methods for managing contradictions, this paper focuses on the one which takes into account the number of sources that support a piece of information and their reliability degrees as well. More precisely, this paper presents a modal logic, extending KD logic, for reasoning with merged beliefs accordingly. It also shows that this logic unifies two different logics that have been defined in the past.