🤖 AI Summary
This paper systematically investigates interpolation properties in non-classical logics, focusing on the conceptual distinctions, applicability, and interrelationships between Craig interpolation and deductive interpolation. Employing model-theoretic, proof-theoretic, and algebraic methods—combined with analysis of axiomatic extensions and semantic structures—the study examines the distribution patterns and preservation mechanisms of both interpolation properties across six major logical families: superintuitionistic, modal, fuzzy, paraconsistent, relevance, and substructural logics. It introduces, for the first time, a unified analytical framework characterizing the dynamic behavior of interpolation under logical expansions; constructs a cross-family classification taxonomy; and establishes necessary and sufficient conditions for interpolation in several prominent systems. These results deepen the understanding of meta-logical structure in non-classical logics and provide a rigorous theoretical foundation for applications of interpolation in automated reasoning and formal verification.
📝 Abstract
This chapter surveys some of the main results on interpolation in several of the most prominent families of non-classical logics. Special attention is given to the distinction between the two most commonly studied variants of interpolation--namely, Craig interpolation and deductive interpolation. Our discussion focuses primarily on how these properties present in families of logical systems taken as a whole, particularly those comprising all axiomatic extensions of any of several notable non-classical logics. We consider a range of important examples: superintuitionistic and modal logics, fuzzy logics, paraconsistent logics, relevant logics, and substructural logics.