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Tractability Frontier of Data Complexity in Team Semantics

Authors: Arnaud Durand 0001; Juha Kontinen; Nicolas de Rugy-Altherre; Jouko Väänänen;

Tractability Frontier of Data Complexity in Team Semantics

Abstract

We study the data complexity of model checking for logics with team semantics. We focus on dependence, inclusion, and independence logic formulas under both strict and lax team semantics. Our results delineate a clear tractability/intractability frontiers in data complexity of both quantifier-free and quantified formulas for each of the logics. For inclusion logic under the lax semantics, we reduce the model-checking problem to the satisfiability problem of so-called dual-Horn Boolean formulas. Via this reduction, we give an alternative proof for the known result that the data complexity of inclusion logic is in PTIME.

Country
Finland
Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Electronic computers. Computer science, 68Q60, 03B60, QA1-939, QA75.5-76.95, Mathematics, Logic in Computer Science (cs.LO)

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    influence
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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!
8
Top 10%
Average
Average
Green
gold