Automated Deduction – CADE 28

This open access book constitutes the proceeding of the 28th International Conference on Automated Deduction, CADE 28, held virtually in July 2021. The 29 full papers and 7 system descriptions presented together with 2 invited papers were carefully reviewed and selected from 76 submissions. CADE is the major forum for the presentation of research in all aspects of automated deduction, including foundations, applications, implementations, and practical experience. The papers are organized in the following topics: Logical foundations; theory and principles; implementation and application; ATP and AI; and system descriptions

Proof-theoretic Semantics for Intuitionistic Multiplicative Linear Logic

This work is the first exploration of proof-theoretic semantics for a substructural logic. It focuses on the base-extension semantics (B-eS) for intuitionistic multiplicative linear logic (IMLL). The starting point is a review of Sandqvist’s B-eS for intuitionistic propositional logic (IPL), for which we propose an alternative treatment of conjunction that takes the form of the generalized elimination rule for the connective. The resulting semantics is shown to be sound and complete. This motivates our main contribution, a B-eS for IMLL , in which the definitions of the logical constants all take the form of their elimination rule and for which soundness and completeness are established

Automated Reasoning

This volume, LNAI 13385, constitutes the refereed proceedings of the 11th International Joint Conference on Automated Reasoning, IJCAR 2022, held in Haifa, Israel, in August 2022. The 32 full research papers and 9 short papers presented together with two invited talks were carefully reviewed and selected from 85 submissions. The papers focus on the following topics: Satisfiability, SMT Solving,Arithmetic; Calculi and Orderings; Knowledge Representation and Jutsification; Choices, Invariance, Substitutions and Formalization; Modal Logics; Proofs System and Proofs Search; Evolution, Termination and Decision Prolems. This is an open access book

Theorem Provers for Every Normal Modal Logic

We present a procedure for algorithmically embedding problems formulated in higher- order modal logic into classical higher-order logic. The procedure was implemented as a stand-alone tool and can be used as a preprocessor for turning TPTP THF-compliant the- orem provers into provers for various modal logics. The choice of the concrete modal logic is thereby specified within the problem as a meta-logical statement. This specification for- mat as well as the underlying semantics parameters are discussed, and the implementation and the operation of the tool are outlined. By combining our tool with one or more THF-compliant theorem provers we accomplish the most widely applicable modal logic theorem prover available to date, i.e. no other available prover covers more variants of propositional and quantified modal logics. Despite this generality, our approach remains competitive, at least for quantified modal logics, as our experiments demonstrate

ON THE APPLICATIONS OF INTERACTIVE THEOREM PROVING IN COMPUTATIONAL SCIENCES AND ENGINEERING

Interactive Theorem Proving (ITP) is one of the most rigorous methods used in formal verification of computing systems. While ITP provides a high level of confidence in the correctness of the system under verification, it suffers from a steep learning curve and the laborious nature of interaction with a theorem prover. As such, it is desirable to investigate whether ITP can be used in unexplored (but high-impact) domains where other verification methods fail to deliver. To this end, the focus of this dissertation is on two important domains, namely design of parameterized self-stabilizing systems, and mechanical verification of numerical approximations for Riemann integration. Self-stabilization is an important property of distributed systems that enables recovery from any system configuration/state. There are important applications for self-stabilization in network protocols, game theory, socioeconomic systems, multi-agent systems and robust data structures. Most existing techniques for the design of self-stabilization rely on a ‘manual design and after-the-fact verification’ method. In a paradigm shift, we present a novel hybrid method of ‘synthesize in small scale and generalize’ where we combine the power of a finite-state synthesizer with theorem proving. We have used our method for the design of network protocols that are self-stabilizing irrespective of the number of network nodes (i.e., parameterized protocols). The second domain of application of ITP that we are investigating concentrates on formal verification of the numerical propositions of Riemann integral in formal proofs. This is a high-impact problem as Riemann Integral is considered one of the most indispensable tools of modern calculus. That has significant applications in the development of mission-critical systems in many Engineering fields that require rigorous computations such as aeronautics, space mechanics, and electrodynamics. Our contribution to this problem is three fold: first, we formally specify and verify the fundamental Riemann Integral inclusion theorem in interval arithmetic; second, we propose a general method to verify numerical propositions on Riemann Integral for a large class of integrable functions; third, we develop a set of practical automatic proof strategies based on formally verified theorems. The contributions of Part II have become part of the ultra-reliable NASA PVS standard library

A generic logic environment

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Verification of floating point programs

In this thesis we present an approach to automated verification of floating point programs. Existing techniques for automated generation of correctness theorems are extended to produce proof obligations for accuracy guarantees and absence of floating point exceptions. A prototype automated real number theorem prover is presented, demonstrating a novel application of function interval arithmetic in the context of subdivision-based numerical theorem proving. The prototype is tested on correctness theorems for two simple yet nontrivial programs, proving exception freedom and tight accuracy guarantees automatically. The prover demonstrates a novel application of function interval arithmetic in the context of subdivision-based numerical theorem proving. The experiments show how function intervals can be used to combat the information loss problems that limit the applicability of traditional interval arithmetic in the context of hard real number theorem proving