Visible to the public Explaining Cyber-Physical Systems Using Decision Trees

TitleExplaining Cyber-Physical Systems Using Decision Trees
Publication TypeConference Paper
Year of Publication2022
AuthorsPlambeck, Swantje, Fey, Görschwin, Schyga, Jakob, Hinckeldeyn, Johannes, Kreutzfeldt, Jochen
Conference Name2022 2nd International Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems (CAADCPS)
Date Publishedmay
KeywordsBehavioral sciences, composability, compositionality, Computational modeling, Conferences, Cyber Dependencies, Cyber-physical systems, Human Behavior, human factors, location awareness, Metrics, Prediction algorithms, pubcrawl, Real-time Systems, resilience, Resiliency, Scalability
AbstractCyber-Physical Systems (CPS) are systems that contain digital embedded devices while depending on environmental influences or external configurations. Identifying relevant influences of a CPS as well as modeling dependencies on external influences is difficult. We propose to learn these dependencies with decision trees in combination with clustering. The approach allows to automatically identify relevant influences and receive a data-related explanation of system behavior involving the system's use-case. Our paper presents a case study of our method for a Real-Time Localization System (RTLS) proving the usefulness of our approach, and discusses further applications of a learned decision tree.
DOI10.1109/CAADCPS56132.2022.00006
Citation Keyplambeck_explaining_2022