Motivated Agent Behaviour and Requirements Applied to Virtual Emergencies
Proceedings of the 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 on Multi-Agent-Systems and Applications II-Selected Revised Papers
Reactivity and Deliberation: A Survey on Multi-Robot Systems
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
RoboCup 2001: Robot Soccer World Cup V
Multi-agent Systems as Intelligent Virtual Environments
KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
From Global Selective Perception to Local Selective Perception
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
An online POMDP algorithm for complex multiagent environments
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Learning the required number of agents for complex tasks
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Local strategy learning in networked multi-agent team formation
Autonomous Agents and Multi-Agent Systems
Using Swarm-GAP for Distributed Task Allocation in Complex Scenarios
Massively Multi-Agent Technology
GAMA: An Environment for Implementing and Running Spatially Explicit Multi-agent Simulations
Agent Computing and Multi-Agent Systems
Reward shaping for valuing communications during multi-agent coordination
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
The INGENIAS Development Kit: A Practical Application for Crisis-Management
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Learning coordination in RoboCupRescue
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Coalition formation with spatial and temporal constraints
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 3 - Volume 3
Agent decision-making in open mixed networks
Artificial Intelligence
Task allocation learning in a multiagent environment: Application to the RoboCupRescue simulation
Multiagent and Grid Systems
Partial evaluation for planning in multiagent expedition
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
CARE@AI'09/CARE@IAT'10 Proceedings of the CARE@AI 2009 and CARE@IAT 2010 international conference on Collaborative agents - research and development
Multiagent systems viewed as distributed scheduling systems: methodology and experiments
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Decentralised channel allocation and information sharing for teams of cooperative agents
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Self-organizing agent communities for autonomic resource management
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Agent-based decentralised coordination for sensor networks using the max-sum algorithm
Autonomous Agents and Multi-Agent Systems
Group planning with time constraints
Annals of Mathematics and Artificial Intelligence
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Disaster rescue is one of the most serious social issues, which involves very large numbers of heterogeneous agents in the hostile environment. The intention of the RoboCup-Rescue project is to promote research and development in this socially significant domain by creating a standard simulator and forum for researchers and practitioners. While the rescue domain intuitively appealing as large-scale multi-agent domains, it has not yet given through analysis on its domain characteristics. In this paper, we present detailed analysis on the task domain and elucidate characteristics necessary for multi-agent systems for this domain.