INTELLIGENT COMPUTING AND AUTOMATION WITH AI AGENTS FOR NEXT-GENERATION APPLICATIONS

Artificial Intelligence has evolved from rule-based systems to sophisticated technologies capable of understanding language, generating content, analyzing information, and supporting complex decision-making. The emergence of Agentic AI represents the next stage of this evolution, moving beyond systems that simply respond to human instructions toward intelligent agents capable of reasoning, planning, learning, making decisions, and taking autonomous actions. Agentic AI: Next-Generation Intelligent Systems provides a comprehensive introduction to this emerging field, covering its foundations, technologies, architectures, development approaches, applications, and future directions. The book explores key technologies such as deep learning, reinforcement learning, Large Language Models (LLMs), cloud and edge computing, and multi-agent systems. It also examines the practical applications of Agentic AI across
healthcare, finance, education, autonomous mobility, business, and other sectors. Particular attention is given to important challenges involving safety, privacy, transparency, cybersecurity, ethics, accountability, and governance. Designed for students, researchers, engineers, technology professionals, and policymakers, this book aims to connect theoretical concepts with practical perspectives and provide a clear understanding of the opportunities and challenges associated with autonomous intelligent systems. As Agentic AI continues to evolve, it is expected to play an increasingly important role in shaping the future of intelligent computing. This book serves as a concise guide for understanding this transformation and exploring the possibilities of next-generation AI.

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