Monitoring, Security, and Rescue Techniques in Multiagent Systems

Front Cover
Barbara Dunin-Keplicz, Andrzej Jankowski, Marcin Szczuka
Springer Science & Business Media, Jan 14, 2005 - Business & Economics - 596 pages
0 Reviews

In today’s society the issue of security has become a crucial one. The use of knowledge-based technology in security applications emerges with important applications in monitoring, control, crisis, and rescue management. This volume contains extended and improved versions of selected contributions presented at the International Workshop "Monitoring, Security and Rescue Techniques in Multiagent Systems" (MSRAS 2004) held in Plock, Poland, June 7-9, 2004, bringing together the world’s leading researchers in the field.

  

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Flow Graphs their Fusion and Data Analysis
3
Approximation Spaces for Hierarchical Intelligent Behavioral System Models
13
Distributed Adaptive Control Beyond SingleInstant Discrete Control Variables
31
Multiagent Planning for Autonomous Agents Coordination
53
Creating Common Beliefs in Rescue Situations
69
Coevolutionary Processes for Strategic Decisions
85
Automatic Proofs of Protocols via Program Transformation
99
Mereological Foundations to Approximate Reasoning
117
Extracting Minimal Templates in a Decision Table
339
Application Domains and Case Studies
345
Programming Bounded Rationality
347
Generalized Game Theorys Contribution to Multiagent Modelling
363
MultiAgent Decision Support System for Disaster Response and Evacuation
385
Intelligent System for Environmental Noise Monitoring
397
Multiagent and Data Mining Technologies for Situation Assessment in Securityrelated Applications
411
Virtual City Simulator for Education Training and Guidance
423

Data Security and Null Value Imputation in DIS
133
Basic Principles and Foundations of Information Monitoring Systems
147
Modelling Unreliable and Untrustworthy Agent Behaviour
161
Nearest Neighbours without k
179
Classifiers Based on Approximate Reasoning Schemes
191
Towards Rough Applicability of Rules
203
On the ComputerAssisted Reasoning about Rough Sets
215
SimilarityBased Data Reduction and Classification
227
Decision Trees and Redacts for Distributed Decision Tables
239
Learning Concept Approximation from Uncertain Decision Tables
249
In Search for Action Rules of the Lowest Cost
261
Circularity in Rule Knowledge Bases Detection using Decision Unit Approach
273
Feedforward Concept Networks
281
Extensions of Partial Structures and Their Application to Modelling of Multiagent Systems
293
Tolerance Information Granules
305
Attribute Reduction Based on Equivalence Relation Defined on Attribute Set and Its Power Set
317
Query Cost Model Constructed and Analyzed in a Dynamic Environment
327
The Efficiency of the Rules Classification Based on the Cluster Analysis Method and Saltons Method
333
Neurocomputing for Certain Bioinformatics Tasks
439
Rough Set Based Solutions for Network Security
455
Task Assignment with Dynamic Token Generation
467
DyKnow A Framework for Processing Dynamic Knowledge and Object Structures in Autonomous Systems
479
Classifier Monitoring using Statistical Tests
493
What Do We Learn When We Learn by Doing? Toward a Model of Dorsal Vision
501
Rough Mereology as a Language for a Minimalist Mobile Robots Eenvironment Description
509
Data Acquisition in Robotics
519
Spatial Sound Localization for Humanoid
527
Oculomotor Humanoid Active Vision System
539
Crisis Management via Agentbased Simulation
551
Monitoring in MultiAgent Systems Two Perspectives
563
MultiAgent Environment for Management of Crisis in an EnterprisesMarkets Complex
571
Behavior Based Detection of Unfavorable Events Using the Multiagent System
579
Intelligent Medical Systems on Internet Technologies Platform
589
Author Index
595
Copyright

Common terms and phrases

Popular passages

Page 508 - Nobre, AC (1998). Where and when to pay attention: the neural systems for directing attention to spatial locations and to time intervals as revealed by both PET and fMRI.