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On the Proof Complexity of Cut-Free Bounded Deep Inference

机译:关于无缺陷界深入推理的证明复杂性

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摘要

It has recently been shown that cut-free deep inference systems exhibit an exponential speed-up over cut-free sequent systems, in terms of proof size. While this is good for proof complexity, there remains the problem of typically high proof search non-determinism induced by the deep inference methodology: the higher the depth of inference, the higher the non-determinism. In this work we improve on the proof search side by demonstrating that, for propositional logic, the same exponential speed-up in proof size can be obtained in bounded-depth cut-free systems. These systems retain the top-down symmetry of deep inference, but can otherwise be designed at the same depth level of sequent systems. As a result the non-determinism arising from the choice of rules at each stage of a proof is smaller than that of unbounded deep inference, while still giving access to the short proofs of deep inference.
机译:最近已经表明,无缺陷的深度推理系统在证明尺寸方面表现出无切割的搜索系统的指数加速。虽然这是良好的证明复杂性,但仍然存在由深度推理方法引起的典型高度证据搜索非确定性的问题:推理深度越高,非确定性越高。在这项工作中,我们通过证明所谓的逻辑来改进证明搜索方,可以在有界深度无切割系统中获得相同的幂速加速。这些系统保留了深度推理的自上而下对称性,否则可以以相同的搜索系统的深度水平设计。因此,由于证据的每个阶段的规则选择而产生的非确定性小于无界深入推理的规则,同时仍然可以访问深度推理的短缺。

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