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 . 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 specied 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 . 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.

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

F Martinelli;I Matteucci;
2016

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 . 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 specied 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 . 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.
2016
Istituto di informatica e telematica - IIT
Cyber-physical systems
Model-based adaptation
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/355239
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact