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Electronic Notes in Theoretical Computer Science
Article . 2009 . Peer-reviewed
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Equivalence Criteria for Compositional IF Modal Logics

Authors: Tulenheimo, Tero; Rebuschi, Manuel;

Equivalence Criteria for Compositional IF Modal Logics

Abstract

An IF modal logic L with a compositional semantics is formulated, generalizing the logic LSD introduced in [19]. Syntactic fragments L1, L2, L3, L4 are discerned. For each fragment, we study the relation of Li-equivalence: an equivalence relation between pointed models holding if and only if they satisfy precisely the same formulas of Li. A criterion for Li-equivalence is formulated in terms of model-comparison games, by imposing further conditions in addition to bisimilarity. Using the resulting methods for establishing indistinguishability w.r.t. Li, the relative expressive powers of the four fragments are determined.

Keywords

[SHS.PHIL] Humanities and Social Sciences/Philosophy, convergence, [INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], bisimulation, independence friendly logic, transition system, Theoretical Computer Science, Computer Science(all), expressive power

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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!
1
Average
Average
Average
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