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Increasing the Efficiency of Cooperation among Agents by Sharing Actions

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3026))

Abstract

Recently, multi-agent techniques are being studied with keen interest to develop flexible information systems for complicated problems. In particular, rescue systems for reducing the damage caused by serious disasters are of international interest. The RoboCupRescue Project[1], launched in Japan in 1999, is an international research project aimed at developing a rescue system for serious disasters. In this paper, we focus on the system controlling the rescue agents. One aspect of great interest regarding multi-agent techniques is the design of systems that realize efficient cooperative behavior. Traditional frameworks for cooperative behavior design include cooperative protocols, hierarchical approaches and so on. However, autonomous robot agents such as rescue agents can not communicate with each other and form groups to cooperate within these traditional frameworks, because these agents have limited mobility and can obtain only restricted information. Moreover, they need to behave in a real-time environment which is complicated and changing continuously.

In this paper, we propose a new cooperative model for multi-agent systems which improves the performance of the systems by reducing redundant actions among the agents. Moreover, the results of disaster simulations confirm that our model is efficient for such complicated environments.

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References

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© 2004 Springer-Verlag Berlin Heidelberg

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Iwata, K., Miyazaki, M., Ito, N., Ishii, N. (2004). Increasing the Efficiency of Cooperation among Agents by Sharing Actions. In: Ramamoorthy, C.V., Lee, R., Lee, K.W. (eds) Software Engineering Research and Applications. SERA 2003. Lecture Notes in Computer Science, vol 3026. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24675-6_22

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  • DOI: https://doi.org/10.1007/978-3-540-24675-6_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21975-0

  • Online ISBN: 978-3-540-24675-6

  • eBook Packages: Springer Book Archive

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