Artificial Intelligence for the Internet of Everything considers the foundations, metrics and applications of IoE systems. It covers whether devices and IoE systems should speak only to each other, to humans or to both. Further, the book explores how IoE systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems. It examines the meaning, value and effect that IoT has had and may have on ordinary life, in business, on the battlefield, and with the rise of intelligent and autonomous systems. Based on an artificial intelligence (AI) perspective, this book addresses how IoE affects sensing, perception, cognition and behavior.
Each chapter addresses practical, measurement, theoretical and research questions about how these “things may affect individuals, teams, society or each other. Of particular focus is what may happen when these “things begin to reason, communicate and act autonomously on their own, whether independently or interdependently with other “things.
1. Chapter 1: Introduction - p. xii 2. Chapter 2: Uncertainty Quantification in Internet of Battlefield Things - p. 18 3. Chapter 3: Intelligent Autonomous Things on the Battlefield - p. 45 4. Chapter 4: Active Inference in Multiagent Systems: Context-Driven Collaboration and Decentralized Purpose-Driven Team Adaptation - p. 64 5. Chapter 5: Policy Issues Regarding Implementations of Cyber Attack: Resilience Solutions for Cyber Physical Systems - p. 85 6. Chapter 6: Trust and Human-Machine Teaming: A Qualitative Study - p. 100 7. Chapter 7: The Web of Smart Entities—Aspects of a Theory of the Next Generation of the Internet of Things - p. 116 8. Chapter 8: Raising Them Right: AI and the Internet of Big Things - p. 137 9. Chapter 9: The Value of Information and the Internet of Things - p. 143 10. Chapter 10: Would IOET Make Economics More Neoclassical or More Behavioral? Richard Thaler’s Prediction, a Revisit - p. 169 11. Chapter 11: Accessing Validity of Argumentation of Agents of the Internet of Everything - p. 186 12. Chapter 12: Distributed Autonomous Energy Organizations: Next-Generation Blockchain Applications for Energy Infrastructure - p. 215 13. Chapter 13: Compositional Models for Complex Systems - p. 239 14. Chapter 14: Meta-Agents: Using Multi-Agent Networks to Manage Dynamic Changes in the Internet of Things - p. 270 15. Index - p. 283
Artificial Intelligence for the Internet of Everything considers the foundations, metrics and applications of IoE systems. It covers whether devices and IoE systems should speak only to each other, to humans or to both. Further, the book explores how IoE systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems. It examines the meaning, value and effect that IoT has had and may have on ordinary life, in business, on the battlefield, and with the rise of intelligent and autonomous systems. Based on an artificial intelligence (AI) perspective, this book addresses how IoE affects sensing, perception, cognition and behavior.
Each chapter addresses practical, measurement, theoretical and research questions about how these “things may affect individuals, teams, society or each other. Of particular focus is what may happen when these “things begin to reason, communicate and act autonomously on their own, whether independently or interdependently with other “things.
1. Chapter 1: Introduction - p. xii 2. Chapter 2: Uncertainty Quantification in Internet of Battlefield Things - p. 18 3. Chapter 3: Intelligent Autonomous Things on the Battlefield - p. 45 4. Chapter 4: Active Inference in Multiagent Systems: Context-Driven Collaboration and Decentralized Purpose-Driven Team Adaptation - p. 64 5. Chapter 5: Policy Issues Regarding Implementations of Cyber Attack: Resilience Solutions for Cyber Physical Systems - p. 85 6. Chapter 6: Trust and Human-Machine Teaming: A Qualitative Study - p. 100 7. Chapter 7: The Web of Smart Entities—Aspects of a Theory of the Next Generation of the Internet of Things - p. 116 8. Chapter 8: Raising Them Right: AI and the Internet of Big Things - p. 137 9. Chapter 9: The Value of Information and the Internet of Things - p. 143 10. Chapter 10: Would IOET Make Economics More Neoclassical or More Behavioral? Richard Thaler’s Prediction, a Revisit - p. 169 11. Chapter 11: Accessing Validity of Argumentation of Agents of the Internet of Everything - p. 186 12. Chapter 12: Distributed Autonomous Energy Organizations: Next-Generation Blockchain Applications for Energy Infrastructure - p. 215 13. Chapter 13: Compositional Models for Complex Systems - p. 239 14. Chapter 14: Meta-Agents: Using Multi-Agent Networks to Manage Dynamic Changes in the Internet of Things - p. 270 15. Index - p. 283
