Task allocation for the police force agents in RoboCupRescue simulation

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Abstract

In this paper, three mechanisms for task allocation among police force agents in the rescue simulation environment are presented. Three different approaches namely full auction-based, partitioning-based and hybrid approaches are briefly described. The empirical results of using the hybrid approach show a significant improvement in performance over the other two approaches. By using the hybrid mechanism for the police forces, our agents together with other types agents ranked third in the RoboCupRescue 2004 simulation competitions. © Springer-Verlag Berlin Heidelberg 2006.

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APA

Sedaghat, M. N., Nejad, L. P., Iravanian, S., & Rafiee, E. (2006). Task allocation for the police force agents in RoboCupRescue simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4020 LNAI, pp. 656–664). Springer Verlag. https://doi.org/10.1007/11780519_66

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