Some results in non-monotonic proof-theoretic semantics
Antonio Piccolomini d'Aragona

TL;DR
This paper investigates the relationships between different proof-theoretic semantics for non-monotonic logic, establishing equivalences under certain conditions and demonstrating the limitations of intuitionistic logic's completeness within these frameworks.
Contribution
It clarifies the connections between reducibility and base semantics in non-monotonic proof-theoretic validity, and discusses the notions of point-wise soundness and completeness.
Findings
Reducibility semantics and standard base semantics are equivalent under certain conditions.
Sandqvist's base semantics completeness implies the inverse equivalence.
Intuitionistic logic is not point-wise complete in non-monotonic proof-theoretic semantics.
Abstract
I explore the relationships between Prawitz's approach to non-monotonic proof-theoretic validity, which I call reducibility semantics, and some later proof-theoretic approaches, which I call standard base semantics and Sandqvist's base semantics respectively. I show that, if suitable conditions are met, reducibility semantics and standard base semantics are equivalent, and that, if Sandqvist's variant is complete over reducibility semantics, then also the inverse holds. Finally, notions of "point-wise" soundness and completeness (called base-soundness and base-completeness) are discussed against some known principles from the proof-theoretic literature, as well as against monotonic proof-theoretic semantics. Intuitionistic logic is proved not to be "point-wise" complete on any kind of non-monotonic proof-theoretic semantics. The way in which this result is proved, as well as the overall…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLogic, Reasoning, and Knowledge · Logic, programming, and type systems · Semantic Web and Ontologies
