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The Model Evolution Calculus

机译:模型演化微积分

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摘要

The DPLL procedure is the basis of some of the most successful propositional satisfiability solvers to date. Although originally devised as a proof-procedure for first-order logic, it has been used almost exclusively for propositional logic so far because of its highly inefficient treatment of quantifiers, based on instantiation into ground formulas. The recent FDPLL calculus by Baumgartner was the first successful attempt to lift the procedure to the first-order level without resorting to ground instantiations. FDPLL lifts to the first-order case the core of the DPLL procedure, the splitting rule, but ignores other aspects of the procedure that, although not necessary for completeness, are crucial for its effectiveness in practice. In this paper, we present a new calculus loosely based on FDPLL that lifts these aspects as well. In addition to being a more faithful lifting of the DPLL procedure, the new calculus contains a more systematic treatment of universal literals, one of FDPLL's optimizations, and so has the potential of leading to much faster implementations.
机译:DPLL程序是迄今为止一些最成功的命题可靠性求解器的基础。虽然最初设计为一阶逻辑的校验程序,但由于其基于实例化进入地面公式,它几乎仅针对题目逻辑的命题逻辑仅用于命题逻辑。最近由Baumgartner的FDPLL微积分是第一次成功尝试将程序升到一阶级,而不诉诸地实例化。 FDPLL升降机一阶情况下,DPLL过程,分裂规则的核心,但忽略了程序的其它方面,虽然没有必要的完整性,是在实践中的有效性至关重要。在本文中,我们基于FDPLL展示了一种新的微积分,这些模夜也升高了这些方面。除了更忠实地提升DPLL程序外,新的微积分还包含一个更系统的普遍文字治疗,FDPLL的优化之一,因此可能导致实现更快的实现。

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