ABOUT THE BOOK The World is witnessing a remarkable shift in the trajectory of Artificial Intelligence—from systems that merely react to stimuli or process data to agents capable of autonomous decision-making, goal pursuit, moral reasoning, and social interaction. This transformation calls for a new conceptual and practical framework: Agentic AI. The term denotes intelligent systems that operate as agents—autonomous entities with beliefs, desires, intentions, and the ability to act toward achieving objectives within dynamic environments. These agentic systems are not only reactive or predictive but deliberative and proactive. They can plan, adapt, collaborate, and even evolve in ways that mirror cognitive, emotional, and social intelligence. CHAPTERS PREFACE Why Agentic AI? Scope and Purpose of This Book How to Use This Book Part I: Foundations of Agentic Intelligence Chapter 1: Introduction to Agentic AI Chapter 2: Theoretical Underpinnings Chapter 3: Cognitive Architectures and Models Chapter 4: Autonomy and Embodiment Part II: Architectures and Engineering of Agentic Systems Chapter 5: Core Agent Architectures Chapter 6: Planning and Goal Management Chapter 7: Memory and World Models Chapter 8: Perception and Attention Mechanisms Chapter 9: Learning in Agentic AI Chapter 10: Communication and Interaction Part III: Building Agentic AI in Practice Chapter 11: Frameworks and Toolkits Chapter 12: Agent Simulation and Training Chapter 13: Ethics and Alignment Chapter 14: Agentic Failure Modes Part IV: Advanced Topics and the Future of Agentic AI Chapter 15: Agentic AI and Consciousness Chapter 16: Agent Societies and Collective Intelligence Chapter 17: Agentic AGI and Existential Risk Chapter 18: Agentic AI Applications