Abstract
A disaster scenario is a very dynamic environment where agents have to face surrounding environmental changes constantly. In this kind of scenarios, the quality of the tasks allocation is highly relevant because every minute spent reduces the chance of successfully rescuing the victims. In this approach, a real time sequencing technique is presented in order to schedule victims taking into account his/her death time. To do that, our rescue agents search for the victims and predict their death time to establish a victim priority order in our decentralized scheduling algorithm. Moreover, the approach in this paper is compared with a centralized task allocation approach. The RoboCup Rescue simulator has been used for experimentation.
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Suárez B., S.A., Quintero M., C.G., de la Rosa, J.L. (2010). A Real Time Approach for Task Allocation in a Disaster Scenario. In: Demazeau, Y., Dignum, F., Corchado, J.M., Pérez, J.B. (eds) Advances in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12384-9_20
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DOI: https://doi.org/10.1007/978-3-642-12384-9_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12383-2
Online ISBN: 978-3-642-12384-9
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