book

Artificial Intelligence for the Internet of Everything

by William Lawless, Ranjeev Mittu, Donald Sofge, Ira S Moskowitz, Stephen Russell

February 2019

Beginner to intermediate

303 pages

9h 13m

English

Academic Press

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Abstract1.1 Introduction: IoE: IoT, IoBT, and IoIT—Background and Overview1.2 Introductions to the Technical Chapters
Abstract2.1 Introduction2.2 Background and Motivating IoBT Scenario2.3 Optimization in Machine Learning2.4 Uncertainty Quantification in Machine Learning2.5 Adversarial Learning in DNN2.6 Summary and Conclusion
Abstract3.1 Introduction3.2 The Challenges of Autonomous Intelligence on the Battlefield3.3 AI Will Fight the Cyber Adversary3.4 AI Will Perceive the Complex World3.5 AI Enables Embodied Agents3.6 Coordination Requires AI3.7 Humans in the Ocean of Things3.8 Summary
Abstract4.1 Introduction4.2 Energy-Based Adaptive Agent Behaviors4.3 Application of Energy Formalism to Multiagent Teams4.4 Validation Experiments4.5 Conclusions
AbstractAcknowledgments5.1 Introduction: Context5.2 The Need to Address Cybersecurity for Physical Systems5.3 Cybersecurity Role and Certification of the Operators of Physical Systems5.4 Data Curation5.5 Market Incentives5.6 Conclusions and Recommendations

Abstract6.1 Background6.2 Method6.3 Results6.4 Discussion6.5 Conclusion
AbstractAcknowledgments7.1 Introduction7.2 Smart Things7.3 A Vision of the Next Generation of the IoT7.4 The Use of Artificial Intelligence in the Web of Smart Entities7.5 Towards a Theory of the Web of Smart Entities7.6 Interacting With Automation7.7 Depth of WSE7.8 Conclusions
Abstract8.1 Introduction8.2 “Things Are About to Get Weird”8.3 Raise Them Right8.4 Learning to Live With It
AbstractAcknowledgments9.1 Introduction9.2 The Internet of Things and Artificial Intelligence9.3 Reworking Howard's Initial Example9.4 Value Discussion9.5 Clairvoyance About C9.6 Clairvoyance About L9.7 Clairvoyance About C and L9.8 Discussion9.9 Conclusion
AbstractAcknowledgments10.1 Motivation and Introduction10.2 Walrasian Auctioneer and Unmanned Markets10.3 Homo Economicus vs. Homo Sapiens10.4 Concluding Remarks
Abstract11.1 Introduction11.2 Representing Argumentative Discourse11.3 Detecting Invalid Argumentation Patterns11.4 Recognizing Communicative Discourse Trees for Argumentation11.5 Assessing Validity of Extracted Argument Patterns Via Dialectical Analysis11.6 Intense Arguments Dataset11.7 Evaluation of Detection and Validation of Arguments11.8 Conclusions
Abstract12.1 Introduction to Distributed Autonomous Energy Organizations12.2 Distributed Energy Supply Chain12.3 AI—Blockchain to Secure Your Energy Supply Chain12.4 Potential Blockchain Business and Implementation Challenges12.5 Roadmap for When to Use Blockchain in the Energy Sector12.6 The Evolution of Public Key Infrastructure Encryption12.7 Why Blockchain, Why DAEO12.8 Overview of the AI-Enabled Blockchain12.9 Blockchain and AI Security Opportunity12.10 Conclusion and Future Research
Abstract13.1 Introduction13.2 Characteristics of Complex Systems13.3 System Design Is a Recursive Process13.4 Inductive Datatypes and Algebraic Structures13.5 Coalgebra and Infinite Datatypes13.6 Operads as Compositional Architectures13.7 Architectures for Learning13.8 ConclusionDisclaimer
AbstractAcknowledgments14.1 Introduction14.2 Managing Complexity14.3 Sentry AGEnts14.4 An Illustrative Example14.5 Reasoning14.6 Challenges and Conclusion

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Ranjeev Mittu, Donald A. Sofge, Ira S. Moskowitz and Stephen Russell contributions to the Work are the work of a U.S. Government employee and are in public domain.

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Publisher Resources

ISBN: 9780128176375

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