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Probabilistic Neighbourhood Logic
2000This paper presents a probabilistic extension of Neighbourhood Logic (NL[14,1],). The study of such an extension is motivated by the need to supply the Probabilistic Duration Calculus (PDC,[10,4]) with a proof system. The relation between the new logic and PDC is similar to that between DC [15] and ITL [12,3]. We present a complete proof system for the
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Abduction with probabilistic logic programming under the distribution semantics
International Journal of Approximate Reasoning, 2022Damiano Azzolini +2 more
exaly
2001
The notion of “vagueness” must be sharply distinguished from the notion of “uncertainty”. Accordingly, fuzzy logic must be sharply distinguished from probabilistic logic. Indeed, a graded truth value for a formula α mustn’t be confused with a measure of our degree of belief in α.
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The notion of “vagueness” must be sharply distinguished from the notion of “uncertainty”. Accordingly, fuzzy logic must be sharply distinguished from probabilistic logic. Indeed, a graded truth value for a formula α mustn’t be confused with a measure of our degree of belief in α.
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Probabilistic logic programming with conditional constraints
ACM Transactions on Computational Logic, 2001Thomas Lukasiewicz
exaly
Description logic programs under probabilistic uncertainty and fuzzy vagueness
International Journal of Approximate Reasoning, 2009Thomas Lukasiewicz, Umberto Straccia
exaly
A probabilistic extension of intuitionistic logic
Mathematical Logic Quarterly, 2003Z S Marković, Zoran Ognjanović
exaly
A probabilistic fuzzy logic system for modeling and control
IEEE Transactions on Fuzzy Systems, 2005Zhi Liu, Han-Xiong Li
exaly
Combining probabilistic logic programming with the power of maximum entropy
Artificial Intelligence, 2004Gabriele Kern-Isberner +1 more
exaly