Disaster Response Simulation as a Testbed for Multi-Agent Systems

Abstract We introduce a novel two-dimensional simulator for disaster response on maps of real cities. Our simulator deals with logistics and coordination problems and allows to plug-in almost any approach developed for simulated environments. In addition, it (1) offers functionalities for further developing and benchmarking, and (2) provides metrics that help the analysis of the performance of a team of agents during the disaster. Our simulator is based on software made available by the multi-agent programming contest, which over the years has provided challenging problems to be solved by intelligent agents. We evaluate the performance of our simulator in terms of processing time and memory usage, message exchange, and response time. We apply this analysis to two different approaches for dealing with the mining dam disaster that occurred in Brazil in 2019. Our results show that our simulator is robust and can work with a reasonable number of agents.

Authors

• Tabajara Krausburg
• Vinicius Chrisosthemos
• Rafael H. Bordini
• Jürgen Dix

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