Description:

This Master Prompt focuses on the rapidly expanding application of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Knowledge Graphs (KGs), Graph Neural Networks (GNNs), Explainable AI (XAI), causal AI, neurosymbolic reasoning and Large Language Models (LLMs) for automated and semi-automated Root Cause Analysis. The uploaded literature demonstrates how AI-assisted RCA can progress from detecting abnormal system behaviour toward identifying suspicious variables or components, reconstructing dependencies and fault-propagation pathways, ranking root-cause candidates and generating interpretable explanations for complex failures.