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Classical Logic as Intuitionistic Logic with Duality

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abstract

The field of proof-theoretic semantics (P-tS) offers an alternative approach to meaning in logic that is based on inference and argument (rather than truth in a model). It has been successfully developed for various logics; in particular, Sandqvist has developed such semantics for both classical and intuitionistic logic. In the case of classical logic, P-tS provides a conception of consequence that avoids an a priori commitment to the principle of bivalence, addressing what Dummett identified as a significant foundational challenge in logic. In this paper, we propose an alternative P-tS for classical logic, which essentially extends the P-tS for intuitionistic logic by operating over literals rather than atomic propositions. Importantly, literals are atomic and not defined by negation but are related by a primitive duality encoded inferentially at the atomic level. This semantics illustrates the perspective that classical logic can be understood as intuitionistic logic supplemented by a principle of duality, offering fresh insights into the relationship between these two systems.

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math.LO 1

years

2026 1

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UNVERDICTED 1

representative citing papers

Towards an Inferentialist Account of Information Through Proof-theoretic Semantics

math.LO · 2026-05-06 · unverdicted · novelty 6.0

Outlines first steps toward an inferentialist theory of information by adapting Dretske via inferability, realizing it with proof-theoretic semantics to define the 'inferon', and applying the framework to distributed systems modeling with focus on information-as-correlation.

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  • Towards an Inferentialist Account of Information Through Proof-theoretic Semantics math.LO · 2026-05-06 · unverdicted · none · ref 14 · internal anchor

    Outlines first steps toward an inferentialist theory of information by adapting Dretske via inferability, realizing it with proof-theoretic semantics to define the 'inferon', and applying the framework to distributed systems modeling with focus on information-as-correlation.