Kahramanogullari, Ozan - Interaction and Depth against Nondeterminism in Proof Search

lmcs:1089 - Logical Methods in Computer Science, May 30, 2014, Volume 10, Issue 2
Interaction and Depth against Nondeterminism in Proof Search

Authors: Kahramanogullari, Ozan

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.


Source : oai:arXiv.org:1403.2628
DOI : 10.2168/LMCS-10(2:5)2014
Volume: Volume 10, Issue 2
Published on: May 30, 2014
Submitted on: March 19, 2013
Keywords: Computer Science - Logic in Computer Science


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