Monitoring, Security, and Rescue Techniques in Multiagent Systems

Cover -- Contents -- Part I: Foundations and Methods -- CH 1 Flow Graphs, their Fusion and Data Analysis -- CH 2 Approximation Spaces for Hierarchical Intelligent Behavioral System Models -- CH 3 Distributed Adaptive Control: Beyond Single-Instant, Discrete Control Variables -- CH 4 Multi-agent Planning for Autonomous Agents' Coordination -- CH 5 Creating Common Beliefs in Rescue Situations -- CH 6 Coevolutionary Processes for Strategic Decisions -- CH 7 Automatic Proofs of Protocols via Program Transformation -- CH 8 Mereological Foundations to Approximate Reasoning -- CH 9 Data Security and Null Value Imputation in DIS -- CH 10 Basic Principles and Foundations of Information Monitoring Systems -- CH 11 Modelling Unreliable and Untrustworthy Agent Behaviour -- CH 12 Nearest Neighbours without k -- CH 13 Classifiers Based on Approximate Reasoning Schemes -- CH 14 Towards Rough Applicability of Rules -- CH 15 On the Computer-Assisted Reasoning about Rough Sets -- CH 16 Similarity-Based Data Reduction and Classification -- CH 17 Decision Trees and Reducts for Distributed Decision Tables -- CH 18 Learning Concept Approximation from Uncertain Decision Tables -- CH 19 In Search for Action Rules of the Lowest Cost -- CH 20 Circularity in Rule Knowledge Bases Detection using Decision Unit Approach -- CH 21 Feedforward Concept Networks -- CH 22 Extensions of Partial Structures and Their Apphcation to Modelling of Multiagent Systems -- CH 23 Tolerance Information Granules -- CH 24 Attribute Reduction Based on Equivalence Relation Defined on Attribute Set and Its Power Set -- CH 25 Query Cost Model Constructed and Analyzed in a Dynamic Environment -- CH 26 The Efficiency of the Rules' Classification Based on the Cluster Analysis Method and Salton's Method -- CH 27 Extracting Minimal Templates in a Decision Table -- Part II: Application Domains and Case Studies -- CH 28 Programming Bounded Rationality -- CH 29 Generalized Game Theory's Contribution to Multi-agent Modelling -- CH 30 Multi-Agent Decision Support System for Disaster Response and Evacuation -- CH 31 Intelligent System for Environmental Noise Monitoring -- CH 32 Multi-agent and Data Mining Technologies for Situation Assessment in Security-related Applications -- CH 33 Virtual City Simulator for Education, Training, and Guidance -- CH 34 Neurocomputing for Certain Bioinformatics Tasks -- CH 35 Rough Set Based Solutions for Network Security -- CH 36 Task Assignment with Dynamic Token Generation -- CH 37 DyKnow: A Framework for Processing Dynamic Knowledge and Object Structures in Autonomous Systems -- CH 38 Classifier Monitoring using Statistical Tests -- CH 39 What Do We Learn When We Learn by Doing? Toward a Model of Dorsal Vision -- CH 40 Rough Mereology as a Language for a Minimalist Mobile Robot's Eenvironment Description -- CH 41 Data Acquisition in Robotics -- CH 42 Spatial Sound Localization for Humanoid -- CH 43 Oculomotor Humanoid Active Vision System -- CH 44 Crisis Management via Agent-based Simulation -- CH 45 Monitoring in Multi-Agent Systems: Two Perspectives -- CH 46 Multi-Agent Environment for Management of Crisis in an Enterpr.