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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2011
Data sources: zbMATH Open
Fundamenta Informaticae
Article . 2011
Data sources: mEDRA
DBLP
Article . 2022
Data sources: DBLP
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A Paraconsistent Linear-time Temporal Logic

A paraconsistent linear-time temporal logic
Authors: Norihiro Kamide; Heinrich Wansing;

A Paraconsistent Linear-time Temporal Logic

Abstract

Inconsistency-tolerant reasoning and paraconsistent logic are of growing importance not only in Knowledge Representation, AI and other areas of Computer Science, but also in Philosophical Logic. In this paper, a new logic, paraconsistent linear-time temporal logic (PLTL), is obtained semantically from the linear-time temporal logic LTL by adding a paraconsistent negation. Some theorems for embedding PLTL into LTL are proved, and PLTL is shown to be decidable. A Gentzentype sequent calculus PLTω for PLTL is introduced, and the completeness and cut-elimination theorems for this calculus are proved. In addition, a display calculus δPLTω for PLTL is defined.

Related Organizations
Keywords

Paraconsistent logics, Combined logics, Temporal logic, linear-time temporal logic, cut elimination, paraconsistent logic, embedding, sequent calculus, display calculus, paraconsistent negation, Cut-elimination and normal-form theorems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Average
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