Building Thinking Machines: Foundation of Agentic AI
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Beschreibung
This book provides a practical and visionary roadmap for creating thinking machines — intelligent, autonomous agents that do not just respond to commands but proactively sense, plan, learn, and act in the real world. Combining foundational concepts with modern tools and frameworks, the book guides readers through the architecture, perception, reasoning, memory, planning, and learning systems that power next-generation agentic AI. With real-world case studies and clear explanations, this book helps researchers, developers, and curious innovators alike understand how to design AI that can truly think, adapt, and collaborate.
This book provides a practical and visionary roadmap for creating thinking machines — intelligent, autonomous agents that do not just respond to commands but proactively sense, plan, learn, and act in the real world. Combining foundational concepts with modern tools and frameworks, the book guides readers through the architecture, perception, reasoning, memory, planning, and learning systems that power next-generation agentic AI. With real-world case studies and clear explanations, this book helps researchers, developers, and curious innovators alike understand how to design AI that can truly think, adapt, and collaborate.
Presents foundational concepts with modern tools and frameworks Discusses how to build proactive, goal-driven thinking machines beyond reactive AI systems Presents real-world case studies in healthcare agents, robotics, digital assistants, and enterprise automation
Autor*in
Makarand Velankar
Themen in »Building Thinking Machines: Foundation of Agentic AI«
Agentic AI Autonomous AI Agents Thinking Machines Large Language Models Reinforcement Learning Agents