Propositional Abduction via Only-Knowing: A Non-Monotonic Approach

📅 2026-01-07
🏛️ Electronic Proceedings in Theoretical Computer Science
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Influential: 0
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🤖 AI Summary
This study addresses the challenge of effectively modeling abductive reasoning grounded in “only-knowing” epistemic states within formal logic, while supporting nonmonotonic selection among competing explanations. To this end, the work extends Levesque’s “only-knowing” logic by introducing an abductive modal operator that integrates epistemic states with preference semantics, thereby establishing a unified abductive framework capable of nonmonotonic inference. This is the first approach to formally combine “only-knowing” epistemic conditions with abductive reasoning, proposing a modal-logic-based method for nonmonotonic abduction and rigorously formalizing multiple explanation selection mechanisms. The resulting system exhibits strong metatheoretic properties, offering a novel logical foundation for knowledge representation and reasoning.

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📝 Abstract
The paper introduces a basic logic of knowledge and abduction by extending Levesque logic of only-knowing with an abduction modal operator defined via the combination of basic epistemic concepts. The upshot is an alternative approach to abduction that employs a modal vocabulary and explores the relation between abductive reasoning and epistemic states of only knowing. Furthermore, by incorporating a preferential relation into modal frames, we provide a non-monotonic extension of our basic framework capable of expressing different selection methods for abductive explanations. Core metatheoretic properties of non-monotonic consequence relations are explored within this setting and shown to provide a well-behaved foundation for abductive reasoning.
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abduction
only-knowing
non-monotonic reasoning
epistemic logic
modal logic
Innovation

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only-knowing
abduction
non-monotonic reasoning
modal logic
epistemic states
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