Artificial Intelligence for the Internet of Everything

Erscheinungsjahr 2019
ISBN: 978-0-12-817636-8
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 303 Seiten, Format (B × H): 228 mm x 151 mm, Gewicht: 480 g

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�.

Zielgruppe

Graduate students, researchers, academics and professionals in the areas of engineering, human factors, robotics, applied psychology, computer science, and machine intelligence.

Autoren/Hrsg.

Mittu, Ranjeev

Sofge, Donald

Moskowitz, Ira S S

Russell, Stephen

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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)

Über Autor(innen)

Sofge, Donald
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.

Mittu, Ranjeev
Ranjeev Mittu is the Branch Head for the Information and Decision Sciences Branch within the Information Technology Division at the U.S. Naval Research Laboratory (NRL). He leads a multidisciplinary group of scientists and engineers conducting research and advanced development in visual analytics, human performance assessment, decision support systems, and enterprise systems. Mr. Mittu's research expertise is in multi-agent systems, human-systems integration, artificial intelligence (AI), machine learning, data mining and pattern recognition; and he has authored and/or coedited eleven books on the topic of AI in collaboration with the national and international scientific communities spanning academia and defense. Mr. Mittu received a Master of Science Degree in Electrical Engineering in 1995 from The Johns Hopkins University in Baltimore, MD.

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.

Moskowitz, Ira S S
Dr. Moskowitz has been a mathematician at the Naval Research Laboratory (NRL) for 29 years; presently, he is in the Information Management and Decision Architectures Branch within NRL's Information Technology Division. Prior to his work at NRL, he was a mathematics professor. His PhD was in Differential Topology from Stony Brook University, Stony Brook, New York. His research areas are information theory and information hiding. His major contributions have been to the area of covert channel analysis. He has over 120 publications and three patents. In particular he is the co-inventor of the NRL Network Pump ®.

Russell, Stephen
Dr. Russell is currently the Battlefield Information Processing Branch Chief at the Army Research Laboratory. Dr. Russell received a B.Sc. in Computer Science and M.S. and Ph.D. degrees in Information Systems from the University of Maryland. His primary research interests are in the area of decision support systems, machine learning, systems architectures, and intelligent systems. His published research articles appear in Expert Systems with Applications, Decision Support Systems Journal, the Encyclopedia of Decision Making and Decision Support Technologies, and Frontiers in Bioscience, amongst others.