Artificial Intelligence for the Internet of Everything
Editat de William Lawless, Ranjeev Mittu, Donald Sofge, Ira S S Moskowitz, Stephen Russellen Limba Engleză Paperback – 25 feb 2019
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.
- Considers the foundations, metrics and applications of IoE systems
- Debates whether IoE systems should speak to humans and each other
- Explores how IoE systems affect targeted audiences and society
- Discusses theoretical IoT ecosystem models
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Specificații
ISBN-13: 9780128176368
ISBN-10: 0128176369
Pagini: 303
Dimensiuni: 152 x 229 x 21 mm
Greutate: 0.41 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128176369
Pagini: 303
Dimensiuni: 152 x 229 x 21 mm
Greutate: 0.41 kg
Editura: ELSEVIER SCIENCE
Public țintă
Graduate students, researchers, academics and professionals in the areas of engineering, human factors, robotics, applied psychology, computer science, and machine intelligence.Cuprins
1. Introduction
2. Uncertainty Quantification in Internet of Battlefield Things
3. Intelligent Autonomous Things on the Battlefield
4. Active Inference in Multi-agent Systems: Context-driven Collaboration and Decentralized Purpose-driven Team Adaptation
5. Policy Issues Regarding Implementations of Cyber Attack. Resilience Solutions for Cyber Physical Systems
6. Trust and Human-Machine Teaming: A Qualitative Study
7. The Web of Smart Entities – Aspects of a Theory of the Next Generation of the Internet of Things
8. Raising Them Right: AI and the Internet of Big Things
9. Valuable Information and the Internet of Things
10. Would IOET Make Economics More Neoclassical or More Behavioral? Richard Thaler’s Prediction, A Revisit
11. Accessing Validity of Argumentation of Agents of the Internet of Everything
12. Distributed Autonomous Energy Organizations: Next Generation Blockchain Applications for Energy Infrastructure
13. Compositional Models for Complex Systems
14. Meta-agents: Using Multi-Agent Networks to Manage Dynamic Changes in the Internet of Things (IoT)
2. Uncertainty Quantification in Internet of Battlefield Things
3. Intelligent Autonomous Things on the Battlefield
4. Active Inference in Multi-agent Systems: Context-driven Collaboration and Decentralized Purpose-driven Team Adaptation
5. Policy Issues Regarding Implementations of Cyber Attack. Resilience Solutions for Cyber Physical Systems
6. Trust and Human-Machine Teaming: A Qualitative Study
7. The Web of Smart Entities – Aspects of a Theory of the Next Generation of the Internet of Things
8. Raising Them Right: AI and the Internet of Big Things
9. Valuable Information and the Internet of Things
10. Would IOET Make Economics More Neoclassical or More Behavioral? Richard Thaler’s Prediction, A Revisit
11. Accessing Validity of Argumentation of Agents of the Internet of Everything
12. Distributed Autonomous Energy Organizations: Next Generation Blockchain Applications for Energy Infrastructure
13. Compositional Models for Complex Systems
14. Meta-agents: Using Multi-Agent Networks to Manage Dynamic Changes in the Internet of Things (IoT)