Abstract
Coordination is one of the key issues in cooperative multiagent systems and it also plays an essential role in disaster management. Task allocation is an important phase of the coordination problem, since the decomposition of the objective into tasks is the most natural way to organize work among agents. In this paper, we propose a hybrid task allocation approach that considers the existence of both local and global information in order to coordinate the agents in the RoboCup Rescue. Moreover, we present a comparative analysis between the results obtained by the agents that use the proposed approach and ones obtained by the sample agents provided within the RoboCup Rescue simulator, that follow a decentralized and greedy approach.
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