Integration of weighted knowledge bases
Artificial Intelligence
Modern Information Retrieval
Possibilistic Merging and Distance-Based Fusion of Propositional Information
Annals of Mathematics and Artificial Intelligence
Combining Multiple Knowledge Bases
IEEE Transactions on Knowledge and Data Engineering
A Methodology for Integration of Heterogeneous Databases
IEEE Transactions on Knowledge and Data Engineering
Arbitration (or How to Merge Knowledge Bases)
IEEE Transactions on Knowledge and Data Engineering
A Logical Framework for Integrating Inconsistent Information in Multiple Databases
FoIKS '02 Proceedings of the Second International Symposium on Foundations of Information and Knowledge Systems
Combining Knowledge Bases Consisting of First Order Theories
ISMIS '91 Proceedings of the 6th International Symposium on Methodologies for Intelligent Systems
Merging with Integrity Constraints
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Towards mathematical morpho-logics
Technologies for constructing intelligent systems
Artificial Intelligence - Special issue on nonmonotonic reasoning
A negotiation-style framework for non-prioritised revision
TARK '01 Proceedings of the 8th conference on Theoretical aspects of rationality and knowledge
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Social contraction and belief negotiation
Information Fusion
Merging stratified knowledge bases under constraints
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Reasoning under inconsistency: the forgotten connective
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Using multi-agent systems and consensus methods for information retrieval in internet
International Journal of Intelligent Information and Database Systems
A logic-based axiomatic model of bargaining
Artificial Intelligence
Merging belief bases by negotiation
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Parallel belief revision: Revising by sets of formulas
Artificial Intelligence
An axiomatic model for merging stratified belief bases by negotiation
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
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Belief merging has been an active research field with many important applications. The major approaches for the belief merging problems, considered as arbitration processes, are based on the construction of the total pre-orders of alternatives using distance functions and aggregation functions. However, these approaches require that all belief bases are provided explicitly and the role of agents, who provide the belief bases, are not adequately considered. Therefore, the results are merely ideal and difficult to apply in the multi-agent systems. In this paper, we approach the merging problems from other point of view. Namely, we treat a belief merging problem as a game, in which rational agents participate in a negotiation process to find out a jointly consistent consensus trying to preserve as many important original beliefs as possible. To this end, a model of negotiation for belief merging is presented, a set of rational and intuitive postulates to characterize the belief merging operators are proposed, and a representation theorem is presented.