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Automating Resolution is NP-hard

Authors :
Universitat Politècnica de Catalunya. Departament de Ciències de la Computació
Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
Atserias, Albert
Muller, Moritz Martin
Universitat Politècnica de Catalunya. Departament de Ciències de la Computació
Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
Atserias, Albert
Muller, Moritz Martin
Publication Year :
2019

Abstract

We 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 automatizable 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 automatizable in subexponential time or quasi-polynomial time unless~NP is included in SUBEXP or QP, respectively.<br />Peer Reviewed<br />Postprint (author's final draft)

Details

Database :
OAIster
Notes :
12 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1141701005
Document Type :
Electronic Resource