Artículos de revistas
Paraconsistent Probabilities: Consistency, Contradictions And Bayes' Theorem
Registro en:
Entropy. Mdpi Ag, v. 18, p. , 2016.
1099-4300
WOS:000385480300008
10.3390/e18090325
Autor
Bueno-Soler
Juliana; Carnielli
Walter
Institución
Resumen
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 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. 18 9 FAPESP-Sao Paulo Research Foundation, Brazil [LogCons 2010/51038-0] National Council for Scientific and Technological Development (CNPq), Brazil Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)