Synthetic humans in emergency response drills
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Bidding optimally in concurrent second-price auctions of perfectly substitutable goods
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Anytime optimal coalition structure generation
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
The DEFACTO system: training tool for incident commanders
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Auctions and bidding: A guide for computer scientists
ACM Computing Surveys (CSUR)
ROME4EU – A service-oriented process-aware information system for mobile devices
Software—Practice & Experience
Community based emergency response
Proceedings of the 14th Annual International Conference on Digital Government Research
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Multi-agent systems (MAS) have been advocated as the natural solution to real-world problems that necessitate some form of decentralised control within dynamic and uncertain environments. Given this, a number of multi-agent coordination algorithms have been designed, ranging from auctions to coalition formation algorithms. These algorithms allow a number of agents to reconcile their constraints and preferences in order to maximise some global objective. An important domain where such algorithms can be applied is that of emergency response or disaster management.