Artificial intelligence for the Internet of everything. ([2019])

• Record Type: Book
• Further Information: Note: Edited by William Lawless, Ranjeev Mittu, Donald Sofge, Ira S. Moskowitz, Stephen Russell.
• Editors: Lawless, William; Mittu, Ranjeev; Sofge, Donald; Moskowitz, Ira S, 1956-; Russell, Stephen
• 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
• Publisher Details: London : Academic Press, an imprint of Elsevier
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource
• Subjects: 006.3; Artificial intelligence; Internet; COMPUTERS / General; Electronic books; Electronic books
• Languages: English
• ISBNs: 9780128176375; 0128176377
• Related ISBNs: 9780128176368; 0128176369
• Notes: Note: Includes bibliographical references and index.; Note: Vendor-supplied metadata.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.