Agentic AI, AI Agents, and Quantum AI Agents, Gebunden

Klappentext

Agentic AI, AI Agents, and Quantum AI Agents examines the evolution of intelligent systems from rulebased systems to selfreliant systems with adaptive capabilities to make decisions in complicated environments. This book first introduces agent architectures, learning, planning, and multiagent systems. It then introduces practical information, modern technologies, and deployment mechanisms of AI agents and stresses the importance of safety, ethics, 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, postgraduate 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 is also relevant for educators, innovators, and policymakers interested in the development of responsible AI, its governance, and the profound impact of smart and quantumenhanced agents throughout the industry and society.

KEY FEATURES

• An indepth coverage of agentic AI, AI agents, multiagent systems, and quantum AI agents
• Balanced theory, implementation, best practices, and realworld examples
• Specific attention given to secure, ethical, explainable, and responsible autonomous AI systems
• Extensive discussion on quantum machine learning, quantum decision systems, and quantumenabled systems with applications in health, smart city, logistics, finance, and security