Efficient Checking of Individual Rewards Properties in Markov Population Models

In recent years fluid approaches to the analysis of Markov populations models have been demonstrated to have great pragmatic value. Initially developed to estimate the behaviour of the system in terms of the expected values of population counts, the fluid approach has subsequently been extended to m...

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Main Authors: Luca Bortolussi, Jane Hillston
Format: Article
Language:English
Published: Open Publishing Association 2015-09-01
Series:Electronic Proceedings in Theoretical Computer Science
Online Access:http://arxiv.org/pdf/1509.08561v1
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author Luca Bortolussi
Jane Hillston
author_facet Luca Bortolussi
Jane Hillston
author_sort Luca Bortolussi
collection DOAJ
description In recent years fluid approaches to the analysis of Markov populations models have been demonstrated to have great pragmatic value. Initially developed to estimate the behaviour of the system in terms of the expected values of population counts, the fluid approach has subsequently been extended to more sophisticated interrogations of models through its embedding within model checking procedures. In this paper we extend recent work on checking CSL properties of individual agents within a Markovian population model, to consider the checking of properties which incorporate rewards.
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spelling doaj.art-79a31a374b7f4411932f2d8d57114d3c2022-12-21T19:48:48ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802015-09-01194Proc. QAPL 2015324710.4204/EPTCS.194.3:6Efficient Checking of Individual Rewards Properties in Markov Population ModelsLuca Bortolussi0Jane Hillston1 University of Trieste University of Edinburgh In recent years fluid approaches to the analysis of Markov populations models have been demonstrated to have great pragmatic value. Initially developed to estimate the behaviour of the system in terms of the expected values of population counts, the fluid approach has subsequently been extended to more sophisticated interrogations of models through its embedding within model checking procedures. In this paper we extend recent work on checking CSL properties of individual agents within a Markovian population model, to consider the checking of properties which incorporate rewards.http://arxiv.org/pdf/1509.08561v1
spellingShingle Luca Bortolussi
Jane Hillston
Efficient Checking of Individual Rewards Properties in Markov Population Models
Electronic Proceedings in Theoretical Computer Science
title Efficient Checking of Individual Rewards Properties in Markov Population Models
title_full Efficient Checking of Individual Rewards Properties in Markov Population Models
title_fullStr Efficient Checking of Individual Rewards Properties in Markov Population Models
title_full_unstemmed Efficient Checking of Individual Rewards Properties in Markov Population Models
title_short Efficient Checking of Individual Rewards Properties in Markov Population Models
title_sort efficient checking of individual rewards properties in markov population models
url http://arxiv.org/pdf/1509.08561v1
work_keys_str_mv AT lucabortolussi efficientcheckingofindividualrewardspropertiesinmarkovpopulationmodels
AT janehillston efficientcheckingofindividualrewardspropertiesinmarkovpopulationmodels