Artificial Intelligence for the Internet of Everything

Herausgegeben:Lawless, William; Mittu, Ranjeev; Sofge, Donald; Moskowitz, Ira S S; Russell, Stephen

• Broschiertes Buch

Produktbeschreibung

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?.

Produktdetails

• Verlag: Academic Press / Elsevier Science & Technology
• Artikelnr. des Verlages: C2018-0-00012-2
• Englisch
• Abmessung: 14mm x 152mm x 229mm
• Gewicht: 498g
• ISBN-13: 9780128176368
• Artikelnr.: 54154192

Autorenporträt

Don Sofge is a computer scientist and roboticist at the Naval Research Laboratory (NRL) with 36 years of experience in artificial intelligence, machine learning, and control systems R&D, the last 23 years at NRL. He leads the Distributed Autonomous Systems Section in the Navy Center for Applied Research in Artificial Intelligence (NCARAI), where he develops nature-inspired computing paradigms to challenging problems in sensing, artificial intelligence, and control of autonomous robotic systems. He has more than 200 refereed publications including 12 edited books in robotics, artificial intelligence, machine learning, planning, sensing, control, and related disciplines.

The views expressed in this Work do not necessarily represent the views of the Department of the Navy, the Department of Defense, or the United States.

Inhaltsangabe

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)