Artificial Intelligence
Artificial Intelligence
Fusion, propagation, and structuring in belief networks
Artificial Intelligence
The principle of minimum specificity as a basis for evidential reasoning
Processing and Management of Uncertainty in Knowledge-Based Systems on Uncertainty in knowledge-based systems. International Conference on Information
A hybrid approach to reasoning under uncertainty
International Journal of Approximate Reasoning
GERTIS: a Dempster-Shafer approach to diagnosing hierarchical hypotheses
Communications of the ACM
Assumptions, beliefs and probabilities
Artificial Intelligence
A Logic-Based Analysis of Dempster Shafer Theory
A Logic-Based Analysis of Dempster Shafer Theory
An analysis of ATMS-based techniques for computing Dempster-Shafer belief functions
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Uncertainty, belief, and probability
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Epistemic logics, probability, and the calculus of evidence
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Evidential reasoning in a categorial perspective: conjunction and disjunction of belief functions
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
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We formulate the Dempster-Shafer formalism of belief functions [Shafer 76] in the spirit of logical inference systems. Our formulation (called the belief calculus) explicitly avoids the use of set-theoretic notations. As such, it serves as an alternative for the use of the Dempster-Shafer formalism for uncertain reasoning.