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Abductive Reasoning in a Paraconsistent Framework

Published 1 Aug 2024 in cs.LO, cs.AI, and math.LO | (2408.07287v2)

Abstract: We explore the problem of explaining observations starting from a classically inconsistent theory by adopting a paraconsistent framework. We consider two expansions of the well-known Belnap--Dunn paraconsistent four-valued logic $\mathsf{BD}$: $\mathsf{BD}\circ$ introduces formulas of the form $\circ\phi$ (the information on $\phi$ is reliable), while $\mathsf{BD}\triangle$ augments the language with $\triangle\phi$'s (there is information that $\phi$ is true). We define and motivate the notions of abduction problems and explanations in $\mathsf{BD}\circ$ and $\mathsf{BD}\triangle$ and show that they are not reducible to one another. We analyse the complexity of standard abductive reasoning tasks (solution recognition, solution existence, and relevance / necessity of hypotheses) in both logics. Finally, we show how to reduce abduction in $\mathsf{BD}\circ$ and $\mathsf{BD}\triangle$ to abduction in classical propositional logic, thereby enabling the reuse of existing abductive reasoning procedures.

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