Generative and Agentic AI Reliability: Architectures, Challenges, and Trust for Autonomous Systems (Studies in Computational Intelligence, 1272)

This book offers a unique and timely contribution to the intersection of agentic AI, reliability engineering, and system trustworthiness.This book addresses both sides of the reliability challenge: how to ensure the reliability of agentic AI systems (with autonomy, planning, and goal-directed behavior), and how agentic AI can be used to enhance the reliability of critical infrastructure and industrial systems (e.g., energy, transportation, manufacturing).It introduces a layered architectural framework that connects technical design (models, execution, cognition) with system-level trust and explainability.This book outlines how awareness and transparency can be engineered into each layer, supporting dependable human-AI collaboration.Beyond technical detail, the book helps researchers, practitioners, and policymakers understand both the barriers and enabling factors for adopting agentic AI in real-world reliability-critical domains.It draws on examples from sectors like power systems, au