Artificial intelligence for the Internet of everything / edited by William Lawless, Ranjeev Mittu, Donald Sofge, Ira S. Moskowitz, Stephen Russell.

Format:

Book

Contributor:

Lawless, William, editor.

Mittu, Ranjeev, editor.

Sofge, Donald, editor.

Moskowitz, Ira S., 1956- editor.

Russell, Stephen, (Information processor), editor.

ScienceDirect (Online service)

Language:

English

Subjects (All):

Artificial intelligence.

Internet.

Physical Description:

1 online resource

polychrome

Place of Publication:

London : Academic Press, an imprint of Elsevier, [2019]

System Details:

text file

Contents:

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

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 Accelerated Gradient Descent; 2.3.6. Generalized Linear Models; 2.3.7. Learning Feature Representations for Inference; 2.4. Uncertainty Quantification in Machine Learning; 2.4.1. Gaussian Process Regression; 2.4.2. Neural Network; 2.4.3. Uncertainty Quantification in Deep Neural Network; 2.5. Adversarial Learning in DNN; 2.6. Summary and Conclusion; References; Chapter 3: Intelligent Autonomous Things on the Battlefield; 3.1. Introduction

3.2. The Challenges of Autonomous Intelligence on the Battlefield3.3. 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; References; Further Reading; 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

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. Validation Experiments; 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. Impact of Decision Decomposition; 4.5. Conclusions; References; Further Reading

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-Based Cybersecurity; 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

Notes:

Includes bibliographical references and index.

Electronic reproduction. Amsterdam Available via World Wide Web.

Vendor-supplied metadata.

Other Format:

Print version: Artificial intelligence for the Internet of everything.

ISBN:

9780128176375

0128176377

Publisher Number:

99983874404

Access Restriction:

Restricted for use by site license.