Paraconsistent Probabilities: Consistency, Contradictions and Bayes’ Theorem

This paper represents the first steps towards constructing a paraconsistent theory of probability based on the Logics of Formal Inconsistency (LFIs). We show that LFIs encode very naturally an extension of the notion of probability able to express sophisticated probabilistic reasoning under contradi...

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Published inEntropy (Basel, Switzerland) Vol. 18; no. 9; p. 325
Main Authors Bueno-Soler, Juliana, Carnielli, Walter
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2016
Subjects
Bayesian analysis
Conditional probability
Consistency
contradiction
Entropy
logics of formal inconsistency
paraconsistency
Pillars
Probabilistic methods
probability
Probability theory
Theorems
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Summary:This paper represents the first steps towards constructing a paraconsistent theory of probability based on the Logics of Formal Inconsistency (LFIs). We show that LFIs encode very naturally an extension of the notion of probability able to express sophisticated probabilistic reasoning under contradictions employing appropriate notions of conditional probability and paraconsistent updating, via a version of Bayes' theorem for conditionalization. We argue that the dissimilarity between the notions of inconsistency and contradiction, one of the pillars of LFIs, plays a central role in our extended notion of probability. Some critical historical and conceptual points about probability theory are also reviewed.
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ISSN:1099-4300
1099-4300
DOI:10.3390/e18090325