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首页> 外文期刊>Journal of Automated Reasoning >SPASS-AR: A First-Order Theorem Prover Based on Approximation-Refinement into the Monadic Shallow Linear Fragment
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SPASS-AR: A First-Order Theorem Prover Based on Approximation-Refinement into the Monadic Shallow Linear Fragment

机译:SPASS-AR:基于近似精化到单子浅线性片段中的一阶定理证明

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摘要

We introduce FO-AR, an approximation-refinement approach for first-order theorem proving based on counterexample-guided abstraction refinement. A given first-order clause set N is transformed into an over-approximation N in a decidable first-order fragment. That means if N is satisfiable so is N. However, if N is unsatisfiable, then the approximation provides a lifting terminology for the found refutation which is step-wise transformed into a proof of unsatisfiability for N. If this fails, the cause is analyzed to refine the original clause set such that the found refutation is ruled out for the future and the procedure repeats. The target fragment of the transformation is the monadic shallow linear fragment with straight dismatching constraints, whichwe prove to be decidable via ordered resolution with selection. We further discuss practical aspects of SPASS-AR, a first-order theorem prover implementing FO-AR. We focus in particularly on effective algorithms for lifting and refinement.
机译:我们引入FO-AR,这是一种基于反例指导的抽象细化的一阶定理证明的近似细化方法。给定的一阶子句集N在可确定的一阶片段中被转换为一个超近似N。这意味着如果N可以满足,则N也是可以满足的。但是,如果N无法满足,则近似值将为找到的反驳提供一个提升术语,将其逐步转换为N不能满足的证明。如果失败,则分析原因。完善原始子句集,以便将来排除发现的反驳,并重复该过程。变换的目标片段是具有直线不匹配约束的单子浅线性片段,我们证明可以通过选择的有序分辨率来确定。我们进一步讨论SPASS-AR的实际方面,SPASS-AR是实现FO-AR的一阶定理证明者。我们特别专注于提升和完善的有效算法。

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