Consensus-based partitions in the space of ordered partitions
Pattern Recognition
Data fusion in robotics and machine intelligence
Data fusion in robotics and machine intelligence
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
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
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
A METHOD FOR ONTOLOGY CONFLICT RESOLUTION AND INTEGRATION ON RELATION LEVEL
Cybernetics and Systems
INCONSISTENCY OF KNOWLEDGE AND COLLECTIVE INTELLIGENCE
Cybernetics and Systems
Merging stratified knowledge bases under constraints
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Inconsistency management and prioritized syntax-based entailment
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
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
Axiomatic characterization of belief merging by negotiation
Multimedia Tools and Applications
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This paper presents an axiomatic model for merging stratified belief bases by negotiation. We introduce the concept of mapping solution, which maps the preferences of agents into layers, as a vehicle to represent the belief states of agents and their attitudes towards the negotiation situations. The belief merging process in our model is divided into two stages: in the first stage, the agents' stratified belief bases are maped to their preferences, and in the second stage a negotiation between the agents is carried out based on these preferences. In this paper, a set of rational axioms for negotiation-based belief merging is proposed and a negotiation solution which satisfies the proposed axioms is introduced. Finally, the logical properties of a family of merging-by-negotiation operators are discussed.