This paper reviews the recent literature on solving the Boolean satisfiability problem (SAT),
an archetypal NP-complete problem, with the aid of machine learning (ML) techniques. Over …

Graph neural networks (GNNs) have recently emerged as a promising approach for solving
the Boolean Satisfiability Problem (SAT), offering potential alternatives to traditional …

Proof decomposition via assume-guarantee with helper properties, ie helpers, is one of the
most promising approaches to address the complexity of hardware formal verification (FV) …

Noting that lemmas are a key feature of mathematics, we engage in an investigation of the
role of lemmas in automated theorem proving. The paper describes experiments with a …

Automated theorem provers and formal proof assistants are general reasoning systems that
are in theory capable of proving arbitrarily hard theorems, thus solving arbitrary problems …

So here we are going to study about the machine learning and automatic assistance system
in machine leering which help in the effective crowd management Machine learning (ML) is …

Boolean satisfiability (SAT) problems are routinely solved by SAT solvers in real-life
applications, yet solving time can vary drastically between solvers for the same instance …

Abstract Machine learning and logical reasoning have been the two foundational pillars of
Artificial Intelligence (AI) since its inception, and yet, until recently the interactions between …

Boolean satisfiability (SAT) is a fundamental NP-complete problem with many applications,
including automated planning and scheduling. To solve large instances, SAT solvers have …

Automatic theorem proving with deep learning methods has attracted attentions recently. In
this paper, we construct an automatic proof system for trigonometric identities. We define the …