Abductive Reasoning in a Paraconsistent Framework

Meghyn Bienvenu, Katsumi Inoue, Daniil Kozhemiachenko
8/1/2024
cs.LOcs.AImath.LO

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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 $\circφ$ (the information on $φ$ is reliable), while $\mathsf{BD}_\triangle$ augments the language with $\triangleφ$'s (there is information that $φ$ 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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Cite this paper

@article{bienvenu2024abductive,
  title  = {Abductive Reasoning in a Paraconsistent Framework},
  author = {Meghyn Bienvenu and Katsumi Inoue and Daniil Kozhemiachenko},
  year   = {2024},
  eprint = {2408.07287},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2408.07287v2}
}

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