Automating Resolution is NP-Hard

2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS)(2020)

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摘要
AbstractWe show that the problem of finding a Resolution refutation that is at most polynomially longer than a shortest one is NP-hard. In the parlance of proof complexity, Resolution is not automatable unless P = NP. Indeed, we show that it is NP-hard to distinguish between formulas that have Resolution refutations of polynomial length and those that do not have subexponential length refutations. This also implies that Resolution is not automatable in subexponential time or quasi-polynomial time unless NP is included in SUBEXP or QP, respectively.
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关键词
Resolution,Proof search,NP-hardness
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