The monotone circuit complexity of Boolean functions
Combinatorica
Lower bounds for cutting planes proofs with small coefficients
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
Some consequences of cryptographical conjectures for S12 and EF
Information and Computation - Special issue: logic and computational complexity
An exponential lower bound for the size of monotone real circuits
Journal of Computer and System Sciences - Special issue on the 36th IEEE symposium on the foundations of computer science
A Computing Procedure for Quantification Theory
Journal of the ACM (JACM)
On Interpolation and Automatization for Frege Systems
SIAM Journal on Computing
A machine program for theorem-proving
Communications of the ACM
Short proofs are narrow—resolution made simple
Journal of the ACM (JACM)
On the Relative Complexity of Resolution Refinements and Cutting Planes Proof Systems
SIAM Journal on Computing
A Switching Lemma for Small Restrictions and Lower Bounds for k - DNF Resolution
FOCS '02 Proceedings of the 43rd Symposium on Foundations of Computer Science
On the Complexity of Resolution with Bounded Conjunctions
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
On reducibility and symmetry of disjoint NP pairs
Theoretical Computer Science - Mathematical foundations of computer science
Lower bounds for the weak Pigeonhole principle and random formulas beyond resolution
Information and Computation
A new proof of the weak Pigeonhole principle
Journal of Computer and System Sciences - Special issue on STOC 2000
Non-Automatizability of Bounded-Depth Frege Proofs
COCO '99 Proceedings of the Fourteenth Annual IEEE Conference on Computational Complexity
Optimality of size-width tradeoffs for resolution
Computational Complexity
Simplified and improved resolution lower bounds
FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science
Resolution is Not Automatizable Unless W[P] is Tractable
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
An Optimal Lower Bound for Resolution with 2-Conjunctions
MFCS '02 Proceedings of the 27th International Symposium on Mathematical Foundations of Computer Science
Exponential separation between Res(k) and Res(k + 1) for k ≤ &949; logn
Information Processing Letters
Artificial Intelligence
A combinatorial characterization of resolution width
Journal of Computer and System Sciences
Exponential separation between Res (k) and Res(k+1) for k≤εlogn
Information Processing Letters
Improved lower bounds for tree-like resolution over linear inequalities
SAT'07 Proceedings of the 10th international conference on Theory and applications of satisfiability testing
Logical closure properties of propositional proof systems
TAMC'08 Proceedings of the 5th international conference on Theory and applications of models of computation
Mean-payoff games and propositional proofs
ICALP'10 Proceedings of the 37th international colloquium conference on Automata, languages and programming
Mean-payoff games and propositional proofs
Information and Computation
Automatizability and simple stochastic games
ICALP'11 Proceedings of the 38th international colloquim conference on Automata, languages and programming - Volume Part I
On minimal unsatisfiability and time-space trade-offs for k-DNF resolution
ICALP'11 Proceedings of the 38th international colloquim conference on Automata, languages and programming - Volume Part I
Complexity of semialgebraic proofs with restricted degree of falsity
SAT'06 Proceedings of the 9th international conference on Theory and Applications of Satisfiability Testing
A note on SAT algorithms and proof complexity
Information Processing Letters
The proof-search problem between bounded-width resolution and bounded-degree semi-algebraic proofs
SAT'13 Proceedings of the 16th international conference on Theory and Applications of Satisfiability Testing
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A propositional proof system is automatizable if there is an algorithm that, given a tautology, produces a proof in time polynomial in the size of its smallest proof. This notion can be weakened if we allow the algorithm to produce a proof in a stronger system within the same time bound. This new notion is called weak automatizability. Among other characterizations, we prove that a system is weakly automatizable exactly when a weak form of the satisfiability problem is solvable in polynomial time. After studying the robustness of the definition, we prove the equivalence between: (i) Resolution is weakly automatizable, (ii) Res(k) is weakly automatizable, and (iii) Res(k) has feasible interpolation, when k 1. In order to prove this result, we show that Res(2) has polynomial-size proofs of the reflection principle of Resolution, which is a version of consistency. We also show that Res(k), for every k 1, proves its consistency in polynomial size, while Resolution does not. In fact, we show that Resolution proofs of its own consistency require almost exponential size. This gives a better lower bound for the monotone interpolation of Res(2) and a separation from Resolution as a byproduct. Our techniques also give us a way to obtain a large class of examples that have small Resolution refutations but require relatively large width. This answers a question of Alekhnovich and Razborov related to whether Resolution is automatizable in quasipolynomial-time.