On the proof complexity of cut-free bounded deep inference

Anupam Das*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAutomated Reasoning with Analytic Tableaux and Related Methods - 20th International Conference, TABLEAUX 2011, Proceedings
Pages134-148
Number of pages15
DOIs
Publication statusPublished - 2011
Event20th International Conference on Automated Reasoning with Analytic Tableaux and Related Methods, TABLEAUX 2011 - Bern, Switzerland
Duration: 4 Jul 20118 Jul 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6793 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Automated Reasoning with Analytic Tableaux and Related Methods, TABLEAUX 2011
Country/TerritorySwitzerland
CityBern
Period4/07/118/07/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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