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Title:Towards A Unified Proof Framework for Automated Fixpoint Reasoning Using Matching Logic
Author(s):Xiaohong Chen; Minh-Thai Trinh; Nishant Rodrigues; Lucas Pena; Grigore Rosu
Subject(s):Matching logic
Automated reasoning
Fixpoints
Induction
Abstract:Automation of fixpoint reasoning has been extensively studied for various mathematical structures, logical formalisms, and computational domains, resulting in specialized fixpoint provers for heaps, for streams, for term algebras, for temporal properties, for program correctness, and for many other formal systems and inductive and coinductive properties. However, in spite of great theoretical and practical interest, there is no unified framework for automated fixpoint reasoning. Although several attempts have been made, there is no evidence that such a unified framework is possible, or practical. In this paper, we propose a candidate based on matching logic, a formalism recently shown to theoretically unify the above mentioned formal systems. Unfortunately, the (Knaster-Tarski) proof rule of matching logic, which enables inductive reasoning, is not syntax-driven. Worse, it can be applied at any step during a proof, making automation seem hopeless. Inspired by recent advances in automation of inductive proofs in separation logic, we propose an alternative proof system for matching logic, which is amenable for automation. We then discuss our implementation of it, which although not superior to specialized state-of-the-art automated provers for specific domains, we believe brings some evidence and hope that a unified framework for automated reasoning is not out of reach.
Issue Date:2020-09
Genre:Technical Report
Article
Type:Text
Language:English
URI:http://hdl.handle.net/2142/108369
Date Available in IDEALS:2020-09-08


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