Modality Definition Synthesis for Epistemic Intuitionistic Logic via a Theorem Prover

We derive a Prolog theorem prover for an Intuitionistic Epistemic Logic by starting from the sequent calculus {\bf G4IP} that we extend with operator definitions providing an embedding in intuitionistic propositional logic ({\bf IPC}). With help of a candidate definition formula generator, we discover epistemic operators for which axioms and theorems of Artemov and Protopopescu's {\em Intuitionistic Epistemic Logic} ({\bf IEL}) hold and formulas expected to be non-theorems fail. We compare the embedding of {\bf IEL} in {\bf IPC} with a similarly discovered successful embedding of Dosen's double negation modality, judged inadequate as an epistemic operator. Finally, we discuss the failure of the {\em necessitation rule} for an otherwise successful {\bf S4} embedding and share our thoughts about the intuitions explaining these differences between epistemic and alethic modalities in the context of the Brouwer-Heyting-Kolmogorov semantics of intuitionistic reasoning and knowledge acquisition. Keywords: epistemic intuitionistic logic, propositional intuitionistic logic, Prolog-based theorem provers, automatic synthesis of logic systems, definition formula generation algorithms, embedding of modal logics into intuitionistic logic

Formula Transformers and Combinatorial Test Generators for Propositional Intuitionistic Theorem Provers

We develop combinatorial test generation algorithms for progressively more powerful theorem provers, covering formula languages ranging from the implicational fragment of intuitionistic logic to full intuitionistic propositional logic. Our algorithms support exhaustive and random generators for formulas of these logics. To provide known-to-be-provable formulas, via the Curry-Howard formulas-as-types correspondence, we use generators for typable lambda terms and combinator expressions. Besides generators for several classes of formulas, we design algorithms that restrict formula generation to canonical representatives among equiprovable formulas and introduce program transformations that reduce formulas to equivalent formulas of a simpler structure. The same transformations, when applied in reverse, create harder formulas that can catch soundness or incompleteness bugs. To test the effectiveness of the testing framework itself, we describe use cases for deriving lightweight theorem provers for several of these logics and for finding bugs in known theorem provers. Our Prolog implementation available at: https://github.com/ptarau/TypesAndProofs and a subset of formula generators and theorem provers, implemented in Python is available at: https://github.com/ptarau/PythonProvers. Keywords: term and formula generation algorithms, Prolog-based theorem provers, formulas-as-types, type inference and type inhabitation, combinatorial testing, finding bugs in theorem provers.Comment: 32 page