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Our understanding of information and information dynamics has outgrown classical information theory. The theory does not account for the value or influence of information within the context of a system or network and does not explain how these properties might influence how information flows though and interacts with a system. The invited chapters in this collection present new theories, methods, and applications that address some of these limitations.
Dynamics of Information Systems presents state-of-the-art research explaining the importance of information in the evolution of a distributed or networked system. This book presents techniques for measuring the value or significance of information within the context of a system. Each chapter reveals a unique topic or perspective from experts in this exciting area of research.
These newly developed techniques have numerous applications including: the detection of terrorist networks, the design of highly functioning businesses and computer systems, modeling the distributed sensory and control physiology of animals, quantum entanglement and genome modeling, multi-robotic systems design, as well as industrial and manufacturing safety.
List of contents
Preface. 1. The Role of Dynamics in Extracting Information Sparsely Encoded in High Dimensional Data Streams. 2. Information Trajectory of Optimal Learning. 3. Performance Information Analysis and Distributed Feedback Stabilization in Large-Scale Interconnected Systems. 4. A General Approach For Modules Identification in Evolving Networks. 5. Topology Information Control in Feedback Based Reconfiguration Processes. 6. Effect of Network Geometry and Interference on Consensus in Wireless Networks. 7. Analyzing the Theoretical Performance of Information Sharing. 8. Self-Organized Criticality of Belief Propagation in Large Heterogeneous Teams. 9. Effect of Humans on Belief Propagation in Large Heterogeneous Teams. 10. Integration of Signals in Complex Biophysical Systems. 11. An Info-centric Trajectory Planner for Unmanned Ground Vehicles. 12. Game and Information Theoretic Approaches to Orbital Evasive Maneuvering in Space Situation Awareness. 13. Decentralized Cooperative Control of Autonomous Surface Vehicles. 14. A Connectivity Reduction Strategy for Multi-Agent Systems. 15. The Navigation Potential of Ground Feature Tracking. 16. Minimal Switching Time of Agent Formations with Collision Avoidance. 17. A Performance Bound for Decentralized Moving Horizon Estimation. 18. Discrimination of Two Linearly-Inseparable Sets Using p Order Conic Programming. 19. Local Neighborhoods and Extensions for the Multidimensional Assignment Problem.
Summary
Our understanding of information and information dynamics has outgrown classical information theory. The theory does not account for the value or influence of information within the context of a system or network and does not explain how these properties might influence how information flows though and interacts with a system. The invited chapters in this collection present new theories, methods, and applications that address some of these limitations.
Dynamics of Information Systems presents state-of-the-art research explaining the importance of information in the evolution of a distributed or networked system. This book presents techniques for measuring the value or significance of information within the context of a system. Each chapter reveals a unique topic or perspective from experts in this exciting area of research.
These newly developed techniques have numerous applications including: the detection of terrorist networks, the design of highly functioning businesses and computer systems, modeling the distributed sensory and control physiology of animals, quantum entanglement and genome modeling, multi-robotic systems design, as well as industrial and manufacturing safety.
