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RoboChart ANN Components

This project contains several software artefacts related to the in-development RoboChart components that are implemented by artificial neural networks (ANN components).

The Metamodel+WFConditions directory contains a modelling project, ANNComponents, that presents CZT specification files relevant to the ANN components in RoboChart. It contains:

  • A directory Metamodel that contains the RoboChart metamodel with ANN components integrated. This directory also contains a Z specification of the ANNController class, used to define the denotational semantic rules.
  • A directory ANN_WF_Conditions_Z that contains the well-formedness conditions of the ANN components formalised in Z.
  • A directory Circus that contains in-development versions of the Circus profile of the ANN semantics.

The Segway_Case_Study directory contains files relevant to the Segway case study. It contains:

  • A RoboChart directory, that contains a RoboChart project SegwayComparison containinng all four versions of the Segway RoboChart model, for the purpose of comparing their CSP semantics.
  • A directory Segway_Proofs that contains CSP files for proving properties about the automatically generated CSP semantics from the SegwayComparison project, and those semantics with an ANN process added manually.

The Supporting Proofs directory contains additional files supporting our verification strategy:

  • CSPM documents supporting
  • An implementation of the ANN semantics in Isabelle/UTP.
  • Files to use Marabou to prove that an ANN component (AnglePIDANN) conforms to a controller (AnglePID_C).
  • CSPM documents that show our ANN Circus semantics are equivalent to our CSPM semantics.

The Validation directory contains a Java implementation of our CSP semantics, written using the JCSP library. The directory JCSP_JML_Previous_Version contains an old version of our JCSP implementation with Java Modelling Language (JML) annotations.

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Software and implementation artefacts concerning the in development RoboChart artificial neural network components.

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