Artificial Intelligence and Digital Technology
Design and Technical Validation of an Offline-First Configurable Digital Sand Table for Power-Grid Emergency Training
Power-grid emergency training requires a system that can encode operating rules, expose the consequences of time-critical decisions, and run in constrained network environments. This paper presents an offline-first configurable digital sand table implemented as a browser-local scenario engine. The architecture separates instructor-authored scenario content from runtime logic through a JSON-based model and executes each exercise as a finite-state process. An explainable assessment pipeline records actions, response …