Artificial Intelligence (AI) is a complicated science that combines philosophy, cognitive psychology, neuroscience, mathematics and logic (logicism), economics, computer science, computability, and software. Meanwhile, robotics is an engineering field that compliments AI. There can be situations where AI can function without a robot (e.g. Turing Test) and robotics without AI (e.g. teleoperation), but in many cases, each technology requires each other to exhibit a complete system: having “smart” robots and AI being able to control its interactions (i.e., effectors) with its environment. This book provides a complete history of computing, AI and robotics from its early development to state-of-the-art technology, providing a roadmap of these complicated and constantly evolving subjects. Divided into two volumes covering the progress of symbolic logic and the explosion in learning/deep learning in natural language and perception, the first volume investigates the coming together of AI (the mind) and robotics (the body), as well as discussing the state of AI today.The second volume goes more in-depth into the history of artificial intelligence, starting with key people and important events that bring us to the present day.Key Features:Provides a complete overview of the topic of artificial intelligence, starting with philosophy, psychology, neuroscience, and logicism, and extending to the action of the robots and artificial intelligence needed for a futuristic societyProvides a holistic view of AI, and touches on all the misconceptions and tangents to the technologies through taking a systematic approach.Provides a glossary of terms, list of notable people and extensive referencesProvides the interconnections and history of the progress of technology for over 100 years as both the hardware (Moore’s Law, GPUs) and software, i.e. generative AI, has advancedIntended as a complete reference, this book is useful to undergraduate and postgraduate students of computing, as well as the general reader. It also can be used as a textbook by course convenors. If you only had one book on AI and robotics, this set would be the first reference to acquire and learn about the theory and practice.

Artificial Intelligence (AI) is a complicated science that combines philosophy, cognitive psychology, neuroscience, mathematics and logic (logicism), economics, computer science, computability, and software. Meanwhile, robotics is an engineering field that compliments AI. There can be situations where AI can function without a robot (e.g. Turing Test) and robotics without AI (e.g. teleoperation), but in many cases, each technology requires each other to exhibit a complete system: having “smart” robots and AI being able to control its interactions (i.e., effectors) with its environment. This book provides a complete history of computing, AI and robotics from its early development to state-of-the-art technology, providing a roadmap of these complicated and constantly evolving subjects. Divided into two volumes covering the progress of symbolic logic and the explosion in learning/deep learning in natural language and perception, the first volume investigates the coming together of AI (the mind) and robotics (the body), as well as discussing the state of AI today.The second volume goes more in-depth into the history of artificial intelligence, starting with key people and important events that bring us to the present day.Key Features:Provides a complete overview of the topic of artificial intelligence, starting with philosophy, psychology, neuroscience, and logicism, and extending to the action of the robots and artificial intelligence needed for a futuristic societyProvides a holistic view of AI, and touches on all the misconceptions and tangents to the technologies through taking a systematic approach.Provides a glossary of terms, list of notable people and extensive referencesProvides the interconnections and history of the progress of technology for over 100 years as both the hardware (Moore’s Law, GPUs) and software, i.e. generative AI, has advancedIntended as a complete reference, this book is useful to undergraduate and postgraduate students of computing, as well as the general reader. It also can be used as a textbook by course convenors. If you only had one book on AI and robotics, this set would be the first reference to acquire and learn about the theory and practice.