Weighted Branching Simulation Distance for Parametric Weighted Kripke Structures

This paper concerns branching simulation for weighted Kripke structures with parametric weights. Concretely, we consider a weighted extension of branching simulation where a single transitions can be matched by a sequence of transitions while preserving the branching behavior. We relax this notion t...

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Main Authors: Louise Foshammer, Kim Guldstrand Larsen, Anders Mariegaard
Format: Article
Language:English
Published: Open Publishing Association 2016-07-01
Series:Electronic Proceedings in Theoretical Computer Science
Online Access:http://arxiv.org/pdf/1608.00657v1
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author Louise Foshammer
Kim Guldstrand Larsen
Anders Mariegaard
author_facet Louise Foshammer
Kim Guldstrand Larsen
Anders Mariegaard
author_sort Louise Foshammer
collection DOAJ
description This paper concerns branching simulation for weighted Kripke structures with parametric weights. Concretely, we consider a weighted extension of branching simulation where a single transitions can be matched by a sequence of transitions while preserving the branching behavior. We relax this notion to allow for a small degree of deviation in the matching of weights, inducing a directed distance on states. The distance between two states can be used directly to relate properties of the states within a sub-fragment of weighted CTL. The problem of relating systems thus changes to minimizing the distance which, in the general parametric case, corresponds to finding suitable parameter valuations such that one system can approximately simulate another. Although the distance considers a potentially infinite set of transition sequences we demonstrate that there exists an upper bound on the length of relevant sequences, thereby establishing the computability of the distance.
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spelling doaj.art-785225bc576649d09ff7ee129e07be7f2022-12-21T17:34:04ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802016-07-01220Proc. Cassting 2016/SynCoP'16637510.4204/EPTCS.220.6:22Weighted Branching Simulation Distance for Parametric Weighted Kripke StructuresLouise Foshammer0Kim Guldstrand Larsen1Anders Mariegaard2 Aalborg University Aalborg University Aalborg University This paper concerns branching simulation for weighted Kripke structures with parametric weights. Concretely, we consider a weighted extension of branching simulation where a single transitions can be matched by a sequence of transitions while preserving the branching behavior. We relax this notion to allow for a small degree of deviation in the matching of weights, inducing a directed distance on states. The distance between two states can be used directly to relate properties of the states within a sub-fragment of weighted CTL. The problem of relating systems thus changes to minimizing the distance which, in the general parametric case, corresponds to finding suitable parameter valuations such that one system can approximately simulate another. Although the distance considers a potentially infinite set of transition sequences we demonstrate that there exists an upper bound on the length of relevant sequences, thereby establishing the computability of the distance.http://arxiv.org/pdf/1608.00657v1
spellingShingle Louise Foshammer
Kim Guldstrand Larsen
Anders Mariegaard
Weighted Branching Simulation Distance for Parametric Weighted Kripke Structures
Electronic Proceedings in Theoretical Computer Science
title Weighted Branching Simulation Distance for Parametric Weighted Kripke Structures
title_full Weighted Branching Simulation Distance for Parametric Weighted Kripke Structures
title_fullStr Weighted Branching Simulation Distance for Parametric Weighted Kripke Structures
title_full_unstemmed Weighted Branching Simulation Distance for Parametric Weighted Kripke Structures
title_short Weighted Branching Simulation Distance for Parametric Weighted Kripke Structures
title_sort weighted branching simulation distance for parametric weighted kripke structures
url http://arxiv.org/pdf/1608.00657v1
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AT kimguldstrandlarsen weightedbranchingsimulationdistanceforparametricweightedkripkestructures
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