English

Towards Self-Explainable Cyber-Physical Systems

Artificial Intelligence 2019-08-26 v1

Abstract

With the increasing complexity of CPSs, 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 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.

Keywords

Cite

@article{arxiv.1908.04698,
  title  = {Towards Self-Explainable Cyber-Physical Systems},
  author = {Mathias Blumreiter and Joel Greenyer and Francisco Javier Chiyah Garcia and Verena Klös and Maike Schwammberger and Christoph Sommer and Andreas Vogelsang and Andreas Wortmann},
  journal= {arXiv preprint arXiv:1908.04698},
  year   = {2019}
}
R2 v1 2026-06-23T10:46:26.798Z