Concepts, models & tools for information fusion

An international panel of leading experts gives you a penetrating and cohesive look at current and future information fusion technology in this unique volume. Examining decision-making models and the command and control process, you develop a solid foundation that lets you explore the latest in situation awareness. The book examines human factors and their effect on analysis to help you judge users' trust in decision support systems. You find practical mathematical techniques and visualization methods, as well as tested heuristics, that show you how systems can achieve higher levels of fusion. The book details the Visual Fusion and Adaptive Sensor Fusion systems developed by the U.S. Department of Defense, offering insight into implementation issues and performance requirements. Moreover this leading-edge reference discusses systems interoperability among coalition forces as they prepare to confront future conflicts that transcend national boundaries.

Information Fusion Definitions, Concepts, and Models. Introduction. Decision Making Modeling-Taxonomical Models. Decision Making Models. Rational Models. Narrative-Based Decision Making Models. Naturalistic Decision Making Models. The Skill-Rule-Knowledge Model. Integrated Model of Real-World Decision-Making. Situation Awareness Modeling-Situation Analysis Definition. The Emergence of Situation Awareness Warfare. A functional Analysis of Situation Awareness Warfare. Data/Information Fusion Models-JDL Data Fusion Model. Unified Data Fusion Model. Visual Situation Assessment Model. Cognitive Systems Engineering-Information Requirements for Optimal Decision Making. Situation Awareness and Mental Models. Cognitive Fit and Cognitive Engineering. Cognitive Task Analysis and Cognitive Work Analysis. Transformation of "Requirements. For Information" Process Model. Decision Support Systems-Human Limitation. Technological Support to Situation Awareness and Decision Making. Task Technology and Interactions and Technological Automation. Decision Support System Requirements: A Task/Human/Technology/Triad Model. Cognitive Fit and Decision Support System in the Operational Environment. The Development Process of a Decision Support Systems. Mathematical Foundations of Information Fusion. Introduction to Uncertainty-Knowledge and Belief. Qualitative Approaches-Classical Logic. Modal Logics and Knowledge Logics. Nonmonotonic Logics. Quantitative Approaches-Probability Theory. Dempster-Shafer Theory. Fuzzy Set Theory. Possibility Theory. Rough Set Theory. Conditional Event Theory. Random Set Theory. Graph-based Theory. Hybrid Approaches-Qualitative Logics. Incidence Calculus. Computational Aspects of Information Fusion. Basic Computational Aspects. Information Fusion Domain Characteristics-The Environment. The Information Sources. The Fusion Process. The IF Application Perspective. The Life Cycle Support Perspective. IF System Design. Information Fusion Computer Issues-System Architectures. Computer Systems. Networks. Middleware. Information Sources. Human Computer Interfaces. Knowledge-Based and Artificial Intelligence Systems-Reason. Reaction. Rule-Based Reasoning. Logical Reasoning. Case-Based Reasoning. Software Architectures-Visual Data Fusion. Adaptive Sensor Fusion. Blackboard Systems. Multi-agent Systems. Conclusion.