Isbn: 9789378542374 - ai that thinks: from algorithms to autonomy and building machines that truly think (english edition) (13 resultados)

Paperback or Softback. Condición: New. AI That Thinks: From algorithms to autonomy and building machines that truly think (English Edition). Book.

Paperback. Condición: New.

Condición: New.

Paperback. Condición: Brand New. In Stock.

Condición: NEW.

Condición: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

Condición: New. 2026. paperback. . . . . .

Paperback. Condición: New.

Paperback. Condición: new. Paperback. This book traces the evolution of AI through symbolic reasoning, neural networks, computer vision, robotics, edge AI, and emerging quantum paradigms. It argues for a mechanism-agnostic definition of intelligence, the one based not on how a system is built, but on what it demonstrably does, which is to perceive, predict, learn, adapt, collaborate, and act under uncertainty. By connecting philosophy with engineering and theory with implementation, the book provides a rigorous yet accessible foundation for understanding what it would take to build machines that genuinely think. AI That Thinks is a visionary yet technically grounded exploration of how we move from narrow artificial intelligence to truly intelligent systems. AI shapes how intelligent systems are designed and understood. Understanding intelligence has become increasingly important. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI That Thinks is a visionary yet technically grounded exploration of how we move from narrow artificial intelligence to truly intelligent systems. AI shapes how intelligent systems are designed and understood. Understanding intelligence has become increasingly important.This book traces the evolution of AI through symbolic reasoning, neural networks, computer vision, robotics, edge AI, and emerging quantum paradigms. It argues for a mechanism-agnostic definition of intelligence, the one based not on how a system is built, but on what it demonstrably does, which is to perceive, predict, learn, adapt, collaborate, and act under uncertainty. By connecting philosophy with engineering and theory with implementation, the book provides a rigorous yet accessible foundation for understanding what it would take to build machines that genuinely think. By the end of this book, the readers will gain an understanding of intelligent systems and AI applications. The central thesis is that the future of AI will not belong to single paradigms, but to hybrid, embodied, distributed systems that integrate learning with reasoning, autonomy with accountability, and intelligence with physical reality. More than a reflection on current technology, this book offers a forward-looking blueprint for engineers, researchers, leaders, and innovators who seek to design the next era of intelligent systems. WHAT YOU WILL LEARN¿ Learn how intelligence can be defined through behavior and capability.¿ Understand how human cognition informs the design of intelligent machine systems.¿ Understand how perception, prediction, and computer vision shape intelligent systems.¿ Learn how sensing, planning, and control create embodied robotic intelligence.¿ Examine the promise and practical limitations of quantum AI and quantum computing.WHO THIS BOOK IS FORThis book is for engineers, researchers, technologists, business leaders, and forward-looking students who want to move beyond AI hype and understand how intelligent systems are truly built. It is for those who seek a deeper, interdisciplinary perspective-blending cognition, computation, robotics, distributed systems, and emerging technologies-to design, evaluate, or lead the next generation of AI that operates not just in theory, but in the real-world.…

Paperback. Condición: new. Paperback. AI That Thinks is a visionary yet technically grounded exploration of how we move from narrow artificial intelligence to truly intelligent systems. AI shapes how intelligent systems are designed and understood. Understanding intelligence has become increasingly important.This book traces the evolution of AI through symbolic reasoning, neural networks, computer vision, robotics, edge AI, and emerging quantum paradigms. It argues for a mechanism-agnostic definition of intelligence, the one based not on how a system is built, but on what it demonstrably does, which is to perceive, predict, learn, adapt, collaborate, and act under uncertainty. By connecting philosophy with engineering and theory with implementation, the book provides a rigorous yet accessible foundation for understanding what it would take to build machines that genuinely think. By the end of this book, the readers will gain an understanding of intelligent systems and AI applications. The central thesis is that the future of AI will not belong to single paradigms, but to hybrid, embodied, distributed systems that integrate learning with reasoning, autonomy with accountability, and intelligence with physical reality. More than a reflection on current technology, this book offers a forward-looking blueprint for engineers, researchers, leaders, and innovators who seek to design the next era of intelligent systems. WHAT YOU WILL LEARN Learn how intelligence can be defined through behavior and capability. Understand how human cognition informs the design of intelligent machine systems. Understand how perception, prediction, and computer vision shape intelligent systems. Learn how sensing, planning, and control create embodied robotic intelligence. Examine the promise and practical limitations of quantum AI and quantum computing.WHO THIS BOOK IS FORThis book is for engineers, researchers, technologists, business leaders, and forward-looking students who want to move beyond AI hype and understand how intelligent systems are truly built. It is for those who seek a deeper, interdisciplinary perspective-blending cognition, computation, robotics, distributed systems, and emerging technologies-to design, evaluate, or lead the next generation of AI that operates not just in theory, but in the real-world. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: new. Paperback. AI That Thinks is a visionary yet technically grounded exploration of how we move from narrow artificial intelligence to truly intelligent systems. AI shapes how intelligent systems are designed and understood. Understanding intelligence has become increasingly important.This book traces the evolution of AI through symbolic reasoning, neural networks, computer vision, robotics, edge AI, and emerging quantum paradigms. It argues for a mechanism-agnostic definition of intelligence, the one based not on how a system is built, but on what it demonstrably does, which is to perceive, predict, learn, adapt, collaborate, and act under uncertainty. By connecting philosophy with engineering and theory with implementation, the book provides a rigorous yet accessible foundation for understanding what it would take to build machines that genuinely think. By the end of this book, the readers will gain an understanding of intelligent systems and AI applications. The central thesis is that the future of AI will not belong to single paradigms, but to hybrid, embodied, distributed systems that integrate learning with reasoning, autonomy with accountability, and intelligence with physical reality. More than a reflection on current technology, this book offers a forward-looking blueprint for engineers, researchers, leaders, and innovators who seek to design the next era of intelligent systems. WHAT YOU WILL LEARN Learn how intelligence can be defined through behavior and capability. Understand how human cognition informs the design of intelligent machine systems. Understand how perception, prediction, and computer vision shape intelligent systems. Learn how sensing, planning, and control create embodied robotic intelligence. Examine the promise and practical limitations of quantum AI and quantum computing.WHO THIS BOOK IS FORThis book is for engineers, researchers, technologists, business leaders, and forward-looking students who want to move beyond AI hype and understand how intelligent systems are truly built. It is for those who seek a deeper, interdisciplinary perspective-blending cognition, computation, robotics, distributed systems, and emerging technologies-to design, evaluate, or lead the next generation of AI that operates not just in theory, but in the real-world. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Condición: Neu. AI That Thinks | From algorithms to autonomy and building machines that truly think (English Edition) | Maharaj Mukherjee (u. a.) | Taschenbuch | Englisch | 2026 | BPB Publications | EAN 9789378542374 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…