Search arXivSearch

arXiv · 2506.10048

Growing a Modular Framework for Modal Systems- HOLMS: a HOL Light Library

Abstract

The present dissertation introduces the research project on HOLMS (\textbf{HOL} Light Library for \textbf{M}odal \textbf{S}ystems), a growing modular framework for modal reasoning within the HOL Light proof assistant. To provide an accessible introduction to the library, the fundamentals of modal logic are outlined first, followed by a concise manual for the proof assistant itself. The core contribution of this work on HOLMS is the development of a unified and modular strategy for proving adequacy theorems with respect to relational semantics directly within HOL Light for several normal modal systems, currently including K, T, K4, and GL. Adequacy theorems establish a formal connection between syntactic proof systems and their intended relational models, ensuring that derivable statements align with valid ones. This approach extends previous research on Gödel-Löb logic (GL) by two HOLMS developers. It also assesses the generality and compositionality of the completeness proofs in George Boolos' monograph \textit{The logic of provability}. Beyond theoretical contributions, HOLMS incorporates automated decision procedures and a countermodel constructor for K, T, K4, and GL, illustrating how general-purpose proof assistants can be effectively combined with research on labelled sequent calculi and key insights from correspondence and bisimulation theories. The implementation in HOL Light demonstrates the feasibility of mechanising modal reasoning in a flexible and robust manner, paving the way for further developments of the HOLMS framework.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Antonella Bilotta. 2025-06-11. Growing a Modular Framework for Modal Systems- HOLMS: a HOL Light Library. https://arxiv.org/abs/2506.10048

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Deciding Predicate Logical Theories of Real-Valued Functions

The notion of a real-valued function is central to mathematics, computer science, and many other scientific fields. Despite this importance, there are hardly any positive results on decision procedures for predicate logical theories that reason about real-valued functions. This paper defines a first-order predicate language for reasoning about multi-dimensional smooth real-valued functions and their derivatives, and demonstrates that - despite the obvious undecidability barriers - certain positive decidability results for such a language are indeed possible.

cs.LO

Structural Liveness of Conservative Petri Nets

We show that the EXPSPACE-hardness result for structural liveness of Petri nets [Jancar and Purser, 2019] holds even for a simple subclass of conservative nets. As our main result, we prove that for structurally live conservative nets, the values of the minimal live markings are at most doubly exponential in the size of the net. This implies the EXPSPACE-completeness of structural liveness for conservative Petri nets. The result also applies to structurally bounded Petri nets, whereas the complexity of the general case remains open. As a proof ingredient of independent interest, we present an extension of known results on the bounds of minimal integer solutions to Boolean combinations of linear equalities, inequalities, and divisibility constraints.

cs.LO

Verifying Numerical Methods with Isabelle/HOL

Modern machine learning pipelines and ODE solvers are built on numerical algorithms. Reliable numerical methods are thus a prerequisite for trustworthy machine learning and cyber-physical systems. We evaluate a framework designed for verifying imperative programs and the Isabelle proof assistant as tools for proving the total correctness of four numerical algorithms: the bisection method, the fixed-point method, the perceptron, and the gradient descent algorithm. Our verifications required subtle extensions and generalisations to Isabelle's version of Taylor's theorem and higher-order derivatives. Finally, we reflect on the framework's automation, friendly syntax, and on further requirements to turn it into a verification tool for numerical methods.

cs.LO