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A Formal and Run-Time Framework for the Adaptation of Local Behaviours to Match a Global Property

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Formal Aspects of Component Software (FACS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10231))

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Abstract

We address the problem of automatically identifying what local properties the agents of a Cyber Physical System have to satisfy to guarantee a global required property \(\phi \). To enrich the picture, we consider properties where, besides qualitative requirements on the actions to be performed, we assume a weight associated with them: quantitative properties are specified through a weighted modal-logic. We propose both a formal machinery based on a Quantitative Partial Model Checking function on contexts, and a run-time machinery that algorithmically tries to check if the local behaviours proposed by the agents satisfy \(\phi \). The proposed approach can be seen as a run-time decomposition, privacy-sensitive in the sense agents do not have to disclose their full behaviour.

Research supported by: “VisColla” funded by Fondazione Cassa di Risparmio di Perugia; “BitCoins” co-funded by Banca d’Italia and Cassa di Risparmio di Perugia; the H2020 EU-funded European Network for Cyber Security, NeCS, (GA #675320).

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Notes

  1. 1.

    Boolean c-semirings can be used to model crisp problems.

  2. 2.

    \({\mathbb {K}}\) is complete if it is closed with respect to infinite sums, and the distributivity law holds also for an infinite number of summands [1].

  3. 3.

    For the sake of readability, we write \(\Vert \) in place of \(\Vert ^2\), i.e., omitting the apex.

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Correspondence to Francesco Santini .

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Bistarelli, S., Martinelli, F., Matteucci, I., Santini, F. (2017). A Formal and Run-Time Framework for the Adaptation of Local Behaviours to Match a Global Property. In: Kouchnarenko, O., Khosravi, R. (eds) Formal Aspects of Component Software. FACS 2016. Lecture Notes in Computer Science(), vol 10231. Springer, Cham. https://doi.org/10.1007/978-3-319-57666-4_9

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  • DOI: https://doi.org/10.1007/978-3-319-57666-4_9

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