Towards self-explainable cyber-physical systems

authored by

Mathias Blumreiter, Joel Greenyer, Francisco Javier Chiyah Garcia, Verena Klos, Maike Schwammberger, Christoph Sommer, Andreas Vogelsang, Andreas Wortmann

Abstract

With the increasing complexity of Cyber-Physical Systems, their behavior and decisions become increasingly difficult to understand and comprehend for users and other stakeholders. Our vision is to build self-explainable systems that can, at run-time, answer questions about the system's past, current, and future behavior. As hitherto no design methodology or reference framework exists for building such systems, we propose the Monitor, Analyze, Build, Explain (MAB-EX) framework for building self-explainable systems that leverage requirements-and explainability models at run-time. The basic idea of MAB-EX is to first Monitor and Analyze a certain behavior of a system, then Build an explanation from explanation models and convey this EXplanation in a suitable way to a stakeholder. We also take into account that new explanations can be learned, by updating the explanation models, should new and yet un-explainable behavior be detected by the system.

Organisation(s)

Software Engineering Section

External Organisation(s)

Hamburg University of Technology (TUHH)
Heriot-Watt University
Technische Universität Berlin
Carl von Ossietzky University of Oldenburg
Heinz Nixdorf Institute
Paderborn University
RWTH Aachen University

Type

Conference contribution

Pages

543-548

No. of pages

6

Publication date

09.2019

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Automotive Engineering, Modelling and Simulation, Software

Electronic version(s)

http://arxiv.org/pdf/1908.04698 (Access: Open)
https://doi.org/10.1109/MODELS-C.2019.00084 (Access: Closed)