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ROSACE: Agent-Based Systems for Dynamic Task Allocation in Crisis Management

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 155))

Abstract

This demonstration illustrates the AMAS self-adaptive cooperative approach to manage task allocation for robot teams in the ROSACE’s forest fire-fighting scenario. Experimental validation is based on two prototypes sharing a common simulated environment, but different robot architecture and processing.

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References

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Correspondence to Jérôme Lacouture .

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© 2012 Springer-Verlag Berlin Heidelberg

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Lacouture, J., Gascueña, J.M., Gleizes, MP., Glize, P., Garijo, F.J., Fernández-Caballero, A. (2012). ROSACE: Agent-Based Systems for Dynamic Task Allocation in Crisis Management. In: Demazeau, Y., Müller, J., Rodríguez, J., Pérez, J. (eds) Advances on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28786-2_32

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  • DOI: https://doi.org/10.1007/978-3-642-28786-2_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28785-5

  • Online ISBN: 978-3-642-28786-2

  • eBook Packages: EngineeringEngineering (R0)

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