Efficient Checking of Individual Rewards Properties in Markov Population Models

Luca Bortolussi
(University of Trieste)
Jane Hillston
(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.

In Nathalie Bertrand and Mirco Tribastone: Proceedings Thirteenth Workshop on Quantitative Aspects of Programming Languages and Systems (QAPL 2015), London, UK, 11th-12th April 2015, Electronic Proceedings in Theoretical Computer Science 194, pp. 32–47.
Published: 28th September 2015.

ArXived at: https://dx.doi.org/10.4204/EPTCS.194.3 bibtex PDF
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