Theoretical Computer Science
Fuzzy sets in approximate reasoning, part 2: logical approaches
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
Reasoning about knowledge and probability
Journal of the ACM (JACM)
Logic and information flow
Handbook of logic in artificial intelligence and logic programming (vol. 3)
A survey of belief revision and updating rules in various uncertainty models
Revision and updating in knowledge bases
CSL '91 Proceedings of the 5th Workshop on Computer Science Logic
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Merging uncertain knowledge bases in a possibilistic logic framework
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
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The first contribution of this paper is the presentation of a Pavelka-like formulation of possibilistic logic in which the language is naturally enriched by two connectives which represent negation (¬) and a new type of conjunction (⊗). The space of truth values for this logic is the lattice of possibility functions, that, from an algebraic point of view, forms a quantal. A second contribution comes from the understanding of the new conjunction as the combination of tokens of information coming from different sources, which makes our language "dynamic". A Gentzen calculus is presented, which is proved sound and complete with respect to the given semantics. The problem of truth functionality is discussed in this context.