Artificial Intelligence
A logic for reasoning about probabilities
Information and Computation - Selections from 1988 IEEE symposium on logic in computer science
Some first-order probability logics
Theoretical Computer Science
Probabilistic Default Reasoning with Conditional Constraints
Annals of Mathematics and Artificial Intelligence
International Journal of Approximate Reasoning
A probabilistic logic with polynomial weight formulas
FoIKS'08 Proceedings of the 5th international conference on Foundations of information and knowledge systems
Generalized qualitative probability: savage revisited
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
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A polyvalent propositional logic $\mathcal L$ is in Boolean frame if the set of all $\mathcal L$-valid formulas coincides with the set of all tautologies. It is well known that the polyvalent logics based on the truth functionality principle are not in the Boolean frame. Interpolative Boolean logic (IBL) is a real-valued propositional logic that is in Boolean frame. The term "interpolative" cames from the fact that semantics of IBL is based on the notion of a generalized Boolean polynomial, where multiplication can be substituted by any continuous t-norm $*:[0,1]^2\longrightarrow [0,1]$ such that $xy\leqslant x* y$. Possible applications are illustrated with several examples.