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An Algorithm to Evaluate Quantified Boolean Formulae and Its Experimental Evaluation

机译:量化布尔公式的评估算法及其实验评估

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摘要

The high computational complexity of advanced reasoning tasks such as reasoning about knowledge and planning calls for efficient and reliable algorithms for reasoning problems harder than NP. In this paper we propose Evaluate, an algorithm for evaluating quantified Boolean formulae (QBFs). Algorithms for evaluation of QBFs are suitable for experimental analysis of problems that belong to a wide range of complexity classes, a property not easily found in other formalisms. Evaluate is a generalization of the Davis-Putnam procedure for SAT and is guaranteed to work in polynomial space.
机译:高级推理任务(如知识推理和计划)的高计算复杂性要求使用有效且可靠的算法来推理比NP更难的问题。在本文中,我们提出了“评估”算法,该算法用于评估量化布尔公式(QBF)。用于评估QBF的算法适用于对属于各种复杂度类别的问题进行实验分析,而在其他形式主义中不容易发现这种性质。评估是SAT的Davis-Putnam程序的概括,可以保证在多项式空间中工作。

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