Description
Agentic AI explores a paradigm shift in Artificial Intelligence-beyond reactive systems toward agents that act autonomously,
proactively, and adaptively in complex environments.
Written by Prof. Ajit Singh, an academician and research scholar with over two decades of expertise in computer science, this
book blends theory, practice, and foresight to chart the future of intelligent agency in machines.
It covers:
• Historical and conceptual foundations of agency in AI
• Key technologies: LLMs, reinforcement learning, and symbolic reasoning
• Frameworks like ReAct, RAG, and tool-augmented systems
• Core agentic capabilities: planning, memory, adaptation, and embodiment
• Real-world applications in software, healthcare, education, finance, and robotics
• Multi-agent systems and collective intelligence
• Ethics, safety, and governance
• Future pathways toward AGI and human-AI collaboration
With practical insights, case studies, and accessible explanations, Agentic AI is an essential guide for researchers, professionals,
policymakers, and technophiles eager to understand and shape the next generation of autonomous intelligent systems.
Combining rigorous theoretical exposition with practical insights and case studies, Agentic AI is a timely and essential resource
for anyone seeking to understand or shape the next generation of autonomous intelligent systems. Whether you’re an AI
professional, academic, policymaker, or a curious technophile, this book invites you to engage with the profound possibilities
and responsibilities of intelligent agency in machines
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