发现SMT中量化公式的冲突实例

Andrew Reynolds, C. Tinelli, L. D. Moura
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引用次数: 70

摘要

在过去的十年中,可满足模理论(SMT)解算器已经成功地应用于各种应用,包括验证、自动定理证明和综合。虽然这样的求解器在处理几个可确定背景理论中的地面约束方面非常熟练,但它们主要依赖于启发式量词实例化方法,如e匹配来处理量化公式。这些方法的成功常常被实例化的过度产生所阻碍,这使得底层的推理变得困难。我们引入了一种新技术,通过首先发现与求解器当前状态冲突的实例来缓解这一缺点。求解器只有在找不到实例时才采用传统的启发式方法,从而减少了对e匹配的依赖。我们的实验结果表明,我们的技术显著减少了SMT求解器回答几个基准库的“不满意”问题所需的实例化数量,从而导致了对最先进实现的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finding conflicting instances of quantified formulas in SMT
In the past decade, Satisfiability Modulo Theories (SMT) solvers have been used successfully in a variety of applications including verification, automated theorem proving, and synthesis. While such solvers are highly adept at handling ground constraints in several decidable background theories, they primarily rely on heuristic quantifier instantiation methods such as E-matching to process quantified formulas. The success of these methods is often hindered by an overproduction of instantiations which makes ground level reasoning difficult. We introduce a new technique that alleviates this shortcoming by first discovering instantiations that are in conflict with the current state of the solver. The solver only resorts to traditional heuristic methods when such instantiations cannot be found, thus decreasing its dependence upon E-matching. Our experimental results show that our technique significantly reduces the number of instantiations required by an SMT solver to answer "unsatisfiable" for several benchmark libraries, and consequently leads to improvements over state-of-the-art implementations.
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