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https://doi.org/10.1007/115901...
Part of book or chapter of book . 2005 . Peer-reviewed
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Fixpoint Logics on Hierarchical Structures

Authors: Göller, Stefan; Lohrey, Markus;

Fixpoint Logics on Hierarchical Structures

Abstract

Hierarchical graph definitions allow a modular description of graphs using modules for the specification of repeated substructures. Beside this modularity, hierarchical graph definitions also allow to specify graphs of exponential size using polynomial size descriptions. In many cases, this succinctness increases the computational complexity of decision problems. In this paper, the model-checking problem for the modal $\mu$-calculus and (monadic) least fixpoint logic on hierarchically defined input graphs is investigated. In order to analyze the modal $\mu$-calculus, parity games on hierarchically defined input graphs are investigated. In most cases precise upper and lower complexity bounds are derived. A restriction on hierarchical graph definitions that leads to more efficient model-checking algorithms is presented.

Country
Germany
Related Organizations
Keywords

000, Mathematische Logik, Mathematical Logic (CR F.4.1), lfp, model checking, hierarchical structures, 004, parity games, mu-calculus, Complexity Measures and Classes (CR F.1.3), Mathematische Logik , Hierarchische Struktur, mlfp, Hierarchische Struktur

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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!
3
Average
Average
Average
Green