scholarly journals Proof Complexity of Modal Resolution

2021 ◽  
Author(s):  
Sarah Sigley ◽  
Olaf Beyersdorff
Keyword(s):  
Artificial Intelligence ◽  
Automated Reasoning ◽  
Proof Complexity ◽  
Pigeonhole Principle ◽  
Analytic Tableaux ◽  
Frege Systems ◽  
International Joint ◽  
Resolution Proofs ◽  
Exponential Size ◽  
Sixth International

AbstractWe investigate the proof complexity of modal resolution systems developed by Nalon and Dixon (J Algorithms 62(3–4):117–134, 2007) and Nalon et al. (in: Automated reasoning with analytic Tableaux and related methods—24th international conference, (TABLEAUX’15), pp 185–200, 2015), which form the basis of modal theorem proving (Nalon et al., in: Proceedings of the twenty-sixth international joint conference on artificial intelligence (IJCAI’17), pp 4919–4923, 2017). We complement these calculi by a new tighter variant and show that proofs can be efficiently translated between all these variants, meaning that the calculi are equivalent from a proof complexity perspective. We then develop the first lower bound technique for modal resolution using Prover–Delayer games, which can be used to establish “genuine” modal lower bounds for size of dag-like modal resolution proofs. We illustrate the technique by devising a new modal pigeonhole principle, which we demonstrate to require exponential-size proofs in modal resolution. Finally, we compare modal resolution to the modal Frege systems of Hrubeš (Ann Pure Appl Log 157(2–3):194–205, 2009) and obtain a “genuinely” modal separation.

scholarly journals A Complexity Gap for Tree-Resolution

1999 ◽  
Vol 6 (29) ◽  
Author(s):  
Søren Riis
Keyword(s):  
Predicate Logic ◽  
Proof Complexity ◽  
Polynomial Size ◽  
Combinatorial Principles ◽  
Resolution Proofs ◽  
Symmetrical Group ◽  
Tree Resolution ◽  
Single Proposition ◽  
Exponential Size ◽  
Recent Idea

<p>It is shown that any sequence  psi_n of tautologies which expresses the<br />validity of a fixed combinatorial principle either is "easy" i.e. has polynomial<br />size tree-resolution proofs or is "difficult" i.e requires exponential<br />size tree-resolution proofs. It is shown that the class of tautologies which<br />are hard (for tree-resolution) is identical to the class of tautologies which<br />are based on combinatorial principles which are violated for infinite sets.<br />Actually it is shown that the gap-phenomena is valid for tautologies based<br />on infinite mathematical theories (i.e. not just based on a single proposition).<br />We clarify the link between translating combinatorial principles (or<br />more general statements from predicate logic) and the recent idea of using<br /> the symmetrical group to generate problems of propositional logic.<br />Finally, we show that it is undecidable whether a sequence  psi_n (of the<br />kind we consider) has polynomial size tree-resolution proofs or requires<br />exponential size tree-resolution proofs. Also we show that the degree of<br />the polynomial in the polynomial size (in case it exists) is non-recursive,<br />but semi-decidable.</p><p>Keywords: Logical aspects of Complexity, Propositional proof complexity,<br />Resolution proofs.</p><p> </p>

The IJCAI-09 Workshop on Learning Structural Knowledge From Observations (STRUCK-09)

AI Magazine ◽  
2010 ◽  
Vol 31 (1) ◽  
pp. 101
Author(s):  
Ugur Kuter ◽  
Hector Munoz-Avila
Keyword(s):  
Artificial Intelligence ◽  
Structural Knowledge ◽  
Group Discussions ◽  
Joint Conference ◽  
International Joint

The IJCAI-09 Workshop on Learning Structural Knowledge From Observations (STRUCK-09) took place as part of the International Joint Conference on Artificial Intelligence (IJCAI-09) on July 12 in Pasadena, California. The workshop program included paper presentations, discussion sessions about those papers, group discussions about two selected topic and a joint discussion.

scholarly journals Computational and Proof Complexity of Partial String Avoidability

2021 ◽  
Vol 13 (1) ◽  
pp. 1-25
Author(s):  
Dmitry Itsykson ◽  
Alexander Okhotin ◽  
Vsevolod Oparin
Keyword(s):  
Lower Bounds ◽  
Circuit Complexity ◽  
Conjunctive Normal Form ◽  
Proof Complexity ◽  
Proof Systems ◽  
Finite Set ◽  
Propositional Proof Systems ◽  
Classical Proof ◽  
Exponential Size ◽  
Infinite String

The partial string avoidability problem is stated as follows: given a finite set of strings with possible “holes” (wildcard symbols), determine whether there exists a two-sided infinite string containing no substrings from this set, assuming that a hole matches every symbol. The problem is known to be NP-hard and in PSPACE, and this article establishes its PSPACE-completeness. Next, string avoidability over the binary alphabet is interpreted as a version of conjunctive normal form satisfiability problem, where each clause has infinitely many shifted variants. Non-satisfiability of these formulas can be proved using variants of classical propositional proof systems, augmented with derivation rules for shifting proof lines (such as clauses, inequalities, polynomials, etc.). First, it is proved that there is a particular formula that has a short refutation in Resolution with a shift rule but requires classical proofs of exponential size. At the same time, it is shown that exponential lower bounds for classical proof systems can be translated for their shifted versions. Finally, it is shown that superpolynomial lower bounds on the size of shifted proofs would separate NP from PSPACE; a connection to lower bounds on circuit complexity is also established.

scholarly journals Federated Reinforcement Distillation with Proxy Experience Memory

2020 ◽  
Author(s):  
Han Cha ◽  
Jihong Park ◽  
Hyesung Kim ◽  
Seong-Lyun Kim ◽  
Mehdi Bennis
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Confidentiality ◽  
User Privacy ◽  
Joint Conference ◽  
International Joint

This paper is presented at 28th International Joint Conference on Artificial Intelligence (IJCAI-19) 1st Wksp. Federated Machine Learning for User Privacy and Data Confidentiality (FML'19), Macau, August 2019.

Sign in / Sign up

Export Citation Format

Share Document