On the Dempster-Shafer framework and new combination rules
Information Sciences: an International Journal
Handbook of logic in artificial intelligence and logic programming (vol. 3)
A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A survey on knowledge compilation
AI Communications
Social contraction and belief negotiation
Information Fusion
Adaptive Merging of Prioritized Knowledge Bases
Fundamenta Informaticae
Combining multiple prioritized knowledge bases by negotiation
Fuzzy Sets and Systems
Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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
Measuring conflict and agreement between two prioritized belief bases
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Analyzing the degree of conflict among belief functions
Artificial Intelligence
Measuring conflict between possibilistic uncertain information through belief function theory
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
A model for the integration of prioritized knowledge bases through subjective belief games
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In this paper, we introduce several features of subjective belief bases from both individualistic and collective perspectives and hence provide suitable essential and contingent properties for such belief bases. Essential properties reflect the attributes of a belief base being considered in vacuum, whereas contingent properties of a belief base reveal its characteristics with regards to the rest of its peer belief bases. Subjective belief bases employ values from Subjective logic, a type of probabilistic logic that explicitly takes uncertainty and belief ownership into account, to represent the priority information of the formula in each belief base. We show that subjective belief bases are a generalization of prioritized belief bases whose formula are annotated with their degree of necessity from possibilistic logic. We also discuss the role of essential and contingent properties in defining suitable belief base ordering functions.