Towards Self-Explainable Cyber-Physical Systems
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.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Building Trust in AI-Driven Decision Making for Cyber-Physical Systems (CPS): A Comprehensive Review
Recent advancements in technology have led to the emergence of Cyber-Physical Systems (CPS), which seamlessly integrate the cyber and physical domains in various sectors such as agriculture, autonomous systems, and healt…
Decision MakingExplainable AI to Improve Machine Learning Reliability for Industrial Cyber-Physical Systems
Industrial Cyber-Physical Systems (CPS) are sensitive infrastructure from both safety and economics perspectives, making their reliability critically important. Machine Learning (ML), specifically deep learning, is incre…
Resilience assessment framework for cyber-physical distribution power system based on coordinated cyber-physical attacks under dynamic game
Owing to the advanced communication networks and intelligent electronic devices, the cyber-physical distribution systems (CPDSs) possess the capability to perform flexible economic dispatch and achieve rapid self-healing…
Zero Dynamics Attack Detection and Isolation in Cyber-Physical Systems with Event-triggered Communication
This paper investigates the problem of Zero Dynamics (ZD) cyber-attack detection and isolation in Cyber-Physical Systems (CPS). By utilizing the notion of auxiliary systems with event-based communications, we will develo…
Cyber Attack DetectionANALYSE -- Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents
The ongoing penetration of energy systems with information and communications technology (ICT) and the introduction of new markets increase the potential for malicious or profit-driven attacks that endanger system stabil…