DocumentCode :
3567611
Title :
On Automatic Theorem Proving with ML
Author :
Munoz Toriz, Juan Pablo ; Martinez Ruiz, Ivan ; Arrazola Ramirez, Jose
Author_Institution :
Fac. de Cienc. Fisico Mat., Benemerita Univ. Autonoma de Puebla, Puebla, Mexico
fYear :
2014
Firstpage :
231
Lastpage :
236
Abstract :
In this paper, we describe the development of a series of automatic theorem provers for a variety of logics. Provers are developed from a functional approach. The first prover is for Classical Propositional Calculus (CPC), which is based on a constructive proof of Kalmar´s Theorem. We also provide the implementation of a cut and contraction free sequent calculus for Intuitionistic Propositional Logic (IPC). Next, it is introduced a prover for ALCS4, which is the description logic ALC with transitive and reflexive roles only. This prover is also based on a cut and contraction free sequent calculus. We also provide a complexity analysis for each prover.
Keywords :
formal logic; theorem proving; ALCS4; CPC; IPC; Kalmar theorem; automatic theorem proving; classical propositional calculus; intuitionistic propositional logic; Algorithm design and analysis; Artificial intelligence; Binary trees; Bismuth; Calculus; Complexity theory; Functional programming; Automated Theorem Proving; Classical Logic; Description Logics; Functional Programming; Intuitionistic Logic; Propositional Calculus;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence (MICAI), 2014 13th Mexican International Conference on
Print_ISBN :
978-1-4673-7010-3
Type :
conf
DOI :
10.1109/MICAI.2014.42
Filename :
7222870
Link To Document :
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