Interaction and Depth against Nondeterminism in Proof Search

DOI10.2168/LMCS-10(2:5)2014zbMATH Open1433.03147arXiv1403.2628MaRDI QIDQ5419489

Publication date: 10 June 2014

Published in: Logical Methods in Computer Science (Search for Journal in Brave)

Abstract: Deep inference is a proof theoretic methodology that generalizes the standard notion of inference of the sequent calculus, whereby inference rules become applicable at any depth inside logical expressions. Deep inference provides more freedom in the design of deductive systems for different logics and a rich combinatoric analysis of proofs. In particular, construction of exponentially shorter analytic proofs becomes possible, however with the cost of a greater nondeterminism than in the sequent calculus. In this paper, we show that the nondeterminism in proof search can be reduced without losing the shorter proofs and without sacrificing proof theoretic cleanliness. For this, we exploit an interaction and depth scheme in the logical expressions. We demonstrate our method on deep inference systems for multiplicative linear logic and classical logic, discuss its proof complexity and its relation to focusing, and present implementations.

Full work available at URL: https://arxiv.org/abs/1403.2628

zbMATH Keywords

linear logic proof theory proof search classical logic deep inference

Mathematics Subject Classification ID

Proof-theoretic aspects of linear logic and other substructural logics (03F52) Complexity of proofs (03F20)