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Artificial intelligence for the Inte...

Lawless, William,

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Artificial intelligence for the Internet of everything

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence for the Internet of everything/ edited by William Lawless, Ranjeev Mittu, Donald Sofge, Ira S. Moskowitz, Stephen Russell.
其他作者:	Lawless, William,
出版者:	London :Academic Press, an imprint of Elsevier, : 2019.,
面頁冊數:	1 online resource.
內容註:	Front Cover; Artificial Intelligence For The Internet of Everything; Copyright; Contents; Contributors; Chapter 1: Introduction; 1.1. Introduction: IoE: IoT, IoBT, and IoIT-Background and Overview; 1.2. Introductions to the Technical Chapters; References; Chapter 2: Uncertainty Quantification in Internet of Battlefield Things; 2.1. Introduction; 2.2. Background and Motivating IoBT Scenario; 2.2.1. Detecting Vehicle-Borne IEDs in Urban Environments; 2.3. Optimization in Machine Learning; 2.3.1. Optimization Problem; 2.3.2. Stochastic Gradient Descent Algorithm
內容註:	2.3.3. Example: Logistic Regression2.3.4. SGD Variants; 2.3.4.1. Mini-Batch SGD; 2.3.4.2. SGD With Momentum; 2.3.5. Nesterov's AcceleratedGradient Descent; 2.3.6. Generalized Linear Models; 2.3.7. Learning Feature Representations for Inference; 2.4. Uncertainty Quantification inMachine Learning; 2.4.1. Gaussian Process Regression; 2.4.2. Neural Network; 2.4.3. Uncertainty Quantification in Deep Neural Network; 2.5. AdversarialLearning in DNN; 2.6. Summary and Conclusion; References; Chapter 3: Intelligent Autonomous Things on the Battlefield; 3.1. Introduction
內容註:	3.2. The Challenges of Autonomous Intelligence on the Battlefield3.3. AI Will Fight the Cyber Adversary; 3.4. AI Will Perceive the ComplexWorld; 3.5. AI Enables Embodied Agents; 3.6. Coordination Requires AI; 3.7. Humans in the Ocean of Things; 3.8. Summary; References; FurtherReading; Chapter 4: Active Inference in Multiagent Systems: Context-Driven Collaboration and Decentralized Purpose-Driven Team Ada ... ; 4.1.Introduction; 4.2. Energy-Based Adaptive Agent Behaviors; 4.2.1. Free Energy Principle; 4.2.2. Adaptive Behavior and Context; 4.2.3. Formal Definitions
內容註:	4.2.4. Behavior Workflow and Computational Considerations4.3. Application of Energy Formalism to Multiagent Teams; 4.3.1. Motivation;4.3.2. Problem Definition; 4.3.3. Distributed Collaborative Search Via Free Energy Minimization; 4.3.4. Adapting Team Structure; 4.4. ValidationExperiments; 4.4.1. Experiment Setup; 4.4.2. Discrete Decision Making Versus Free Energy; 4.4.3. Impact of Agent Network Structure; 4.4.4. Impactof Decision Decomposition; 4.5. Conclusions; References; Further Reading
內容註:	Chapter 5: Policy Issues Regarding Implementations of Cyber Attack: Resilience Solutions for Cyber Physical Systems5.1. Introduction:Context; 5.2. The Need to Address Cybersecurity for Physical Systems; 5.2.1. Historic Patterns for Addressing Cybersecurity; 5.2.2. Mission-BasedCybersecurity; 5.2.3. Education of Engineers and Policy-Makers; 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; Acknowledgments; References; Further Reading
標題:	Artificial intelligence. -
電子資源:	https://www.sciencedirect.com/science/book/9780128176368
ISBN:	9780128176375 (electronic bk.)

Artificial intelligence for the Internet of everything
Artificial intelligence for the Internet of everything[electronic resource] /edited by William Lawless, Ranjeev Mittu, Donald Sofge, Ira S. Moskowitz, Stephen Russell. - London :Academic Press, an imprint of Elsevier,2019. - 1 online resource.

Includes bibliographical references and index.

Front Cover; Artificial Intelligence For The Internet of Everything; Copyright; Contents; Contributors; Chapter 1: Introduction; 1.1. Introduction: IoE: IoT, IoBT, and IoIT-Background and Overview; 1.2. Introductions to the Technical Chapters; References; Chapter 2: Uncertainty Quantification in Internet of Battlefield Things; 2.1. Introduction; 2.2. Background and Motivating IoBT Scenario; 2.2.1. Detecting Vehicle-Borne IEDs in Urban Environments; 2.3. Optimization in Machine Learning; 2.3.1. Optimization Problem; 2.3.2. Stochastic Gradient Descent Algorithm

Considering the foundations, metrics and applications of Internet of Everything (IoE) systems, this book covers whether devices and IoEsystems should speak only to each other, to humans or to both. --

ISBN: 9780128176375 (electronic bk.)Subjects--Topical Terms:

516317
Artificial intelligence.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TA347.A78

Dewey Class. No.: 006.3

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505 8 $a 3.2. The Challenges of Autonomous Intelligence on the Battlefield3.3. AI Will Fight the Cyber Adversary; 3.4. AI Will Perceive the ComplexWorld; 3.5. AI Enables Embodied Agents; 3.6. Coordination Requires AI; 3.7. Humans in the Ocean of Things; 3.8. Summary; References; FurtherReading; Chapter 4: Active Inference in Multiagent Systems: Context-Driven Collaboration and Decentralized Purpose-Driven Team Ada ... ; 4.1.Introduction; 4.2. Energy-Based Adaptive Agent Behaviors; 4.2.1. Free Energy Principle; 4.2.2. Adaptive Behavior and Context; 4.2.3. Formal Definitions
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505 8 $a Chapter 5: Policy Issues Regarding Implementations of Cyber Attack: Resilience Solutions for Cyber Physical Systems5.1. Introduction:Context; 5.2. The Need to Address Cybersecurity for Physical Systems; 5.2.1. Historic Patterns for Addressing Cybersecurity; 5.2.2. Mission-BasedCybersecurity; 5.2.3. Education of Engineers and Policy-Makers; 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; Acknowledgments; References; Further Reading
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