Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Multi-Agent Simulation for Crisis Management
KMN '02 Proceedings of the IEEE Workshop on Knowledge Media Networking
Simulation for emergency response: a framework for modeling and simulation for emergency response
Proceedings of the 35th conference on Winter simulation: driving innovation
Emergency response simulation using wireless sensor networks
Proceedings of the 1st international conference on Ambient media and systems
Application of Naturalistic Decision Making to Emergency Evacuation Simulations
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Adaptation of Personality-Based Decision Making to Crowd Behavior Simulations
AIMSA '08 Proceedings of the 13th international conference on Artificial Intelligence: Methodology, Systems, and Applications
A reflective middleware architecture for simulation integration
Proceedings of the 8th International Workshop on Adaptive and Reflective MIddleware
What-if emergency management system: a generalized Voronoi diagram approach
PAISI'07 Proceedings of the 2007 Pacific Asia conference on Intelligence and security informatics
Middleware solutions for integrated simulation environments
Proceedings of the 7th Middleware Doctoral Symposium
Formal specification of multisimulations using Maude
Proceedings of the 2012 Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium
Securing mobile agents for crisis management support
Proceedings of the seventh ACM workshop on Scalable trusted computing
Large scale simulation for human evacuation and rescue
Computers & Mathematics with Applications
Agent-oriented modeling and development of a system for crisis management
Expert Systems with Applications: An International Journal
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Responding to natural or man-made disasters in a timely and effective manner can reduce deaths and injuries, contain or prevent secondary disasters, and reduce the resulting economic losses and social disruption. Appropriate IT solutions can improve this response. However, exhaustive and realistic validation of these IT solutions is difficult; proofs are not available, simulations lack realism, and drills are expensive and cannot be reproduced. This paper presents DrillSim: a simulation environment that plays out the activities of a crisis response (e.g., evacuation). It has capabilities to integrate real-life drills into a simulated response activity using an instrumented environment with sensing and communication capabilities. IT solutions can be plugged in the simulation system to study their effectiveness in disaster management and response. This way, by using a simulation coupled with an on-going drill, IT solutions can be tested in a less expensive but realistic scenario.