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Artificial Intelligence for the Internet of Everything

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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.

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,Table of Contents
Cover image

Title page

Copyright

Contributors

Chapter 1: Introduction

Abstract

1.1 Introduction: IoE: IoT, IoBT, and IoIT—Background and Overview

1.2 Introductions to the Technical Chapters

Chapter 2: Uncertainty Quantification in Internet of Battlefield Things

Abstract

2.1 Introduction

2.2 Background and Motivating IoBT Scenario

2.3 Optimization in Machine Learning

2.4 Uncertainty Quantification in Machine Learning

2.5 Adversarial Learning in DNN

2.6 Summary and Conclusion

Chapter 3: Intelligent Autonomous Things on the Battlefield

Abstract

3.1 Introduction

3.2 The Challenges of Autonomous Intelligence on the Battlefield

,3.3 AI Will Fight the Cyber Adversary

3.4 AI Will Perceive the Complex World

3.5 AI Enables Embodied Agents

3.6 Coordination Requires AI

3.7 Humans in the Ocean of Things

3.8 Summary

Chapter 4: Active Inference in Multiagent Systems: Context-Driven Collaboration and
Decentralized Purpose-Driven Team Adaptation

Abstract

4.1 Introduction

4.2 Energy-Based Adaptive Agent Behaviors

4.3 Application of Energy Formalism to Multiagent Teams

4.4 Validation Experiments

4.5 Conclusions

Chapter 5: Policy Issues Regarding Implementations of Cyber Attack: Resilience Solutions for
Cyber Physical Systems

Abstract

Acknowledgments

5.1 Introduction: Context

5.2 The Need to Address Cybersecurity for Physical Systems

5.3 Cybersecurity Role and Certification of the Operators of Physical Systems

5.4 Data Curation

5.5 Market Incentives

5.6 Conclusions and Recommendations

, Chapter 6: Trust and Human-Machine Teaming: A Qualitative Study

Abstract

6.1 Background

6.2 Method

6.3 Results

6.4 Discussion

6.5 Conclusion

Chapter 7: The Web of Smart Entities—Aspects of a Theory of the Next Generation of the Internet
of Things

Abstract

Acknowledgments

7.1 Introduction

7.2 Smart Things

7.3 A Vision of the Next Generation of the IoT

7.4 The Use of Artificial Intelligence in the Web of Smart Entities

7.5 Towards a Theory of the Web of Smart Entities

7.6 Interacting With Automation

7.7 Depth of WSE

7.8 Conclusions

Chapter 8: Raising Them Right: AI and the Internet of Big Things

Abstract

8.1 Introduction

8.2 “Things Are About to Get Weird”

8.3 Raise Them Right

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Number of pages
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Written in
2021/2022
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