Intuitionistic Layered Graph Logic: Semantics and Proof Theory
Simon Docherty, David Pym

TL;DR
This paper introduces ILGL, an intuitionistic layered graph logic, providing semantics, proof systems, and decidability results, with applications to modeling complex layered systems in physical and social sciences.
Contribution
It develops ILGL, a novel intuitionistic substructural logic for layering, with soundness, completeness, and decidability proofs, extending to predicate logic and applications.
Findings
Soundness and completeness of ILGL with respect to graph-based semantics
Decidability of ILGL established via algebraic semantics
Extension of ILGL to predicate logic with dual semantics
Abstract
Models of complex systems are widely used in the physical and social sciences, and the concept of layering, typically building upon graph-theoretic structure, is a common feature. We describe an intuitionistic substructural logic called ILGL that gives an account of layering. The logic is a bunched system, combining the usual intuitionistic connectives, together with a non-commutative, non-associative conjunction (used to capture layering) and its associated implications. We give soundness and completeness theorems for a labelled tableaux system with respect to a Kripke semantics on graphs. We then give an equivalent relational semantics, itself proven equivalent to an algebraic semantics via a representation theorem. We utilise this result in two ways. First, we prove decidability of the logic by showing the finite embeddability property holds for the algebraic semantics. Second, we…
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Taxonomy
TopicsLogic, programming, and type systems · Logic, Reasoning, and Knowledge · Advanced Database Systems and Queries
