Agentic AI, AI Agents, and Quantum Agents

This book examines evolution of intelligent systems from rule-based systems to self-reliant systems with adaptive capabilities to make decisions in complicated environments. It is useful for researchers, post-graduate students, AI practitioners, software engineers, and technology specialists interested in autonomous AI systems. Agentic AI, AI Agents and Quantum AI Agents examines the evolution of intelligent systems from rule-based systems to self-reliant systems with adaptive capabilities to make decisions in complicated environments. The book first introduces agent architectures, learning, planning and multi-agent systems. It then introduces practical information, modern technologies and deployment mechanisms of AI agents and stresses the importance of safety, ethic and explainability. Readers will become acquainted with the structure, training, implementation, and control of smart agents in today's artificial intelligence environments, and with the application of quantum computing to improve agent intelligence and the ability to make decisions. This book is intended for researchers, post-graduate students, AI practitioners, software engineers, and technology specialists interested in obtaining a detailed overview of autonomous AI systems and their integration with future quantum technologies. This book would also be relevant to educators, innovators, and policymakers interested in the development of responsible AI, its governance and the profound impact of smart and quantum-enhanced agents throughout the industry and society. Key Features An in-depth coverage of Agentic AI, AI Agents, Multi-Agent Systems and Quantum AI Agents. Balanced theory, implementation, best practices and real-world examples. Specific attention given to secure, ethical, explainable and responsible Autonomous AI systems. Extensive discussion on quantum machine learning, quantum decision systems and quantum-enabled systems with applications in health, smart city, logistics, finance and security.