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Implementing Pheromone-Based, Negotiating Forager Agents

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Computational Logic in Multi-Agent Systems (CLIMA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3900))

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Abstract

We describe an implementation of distributed, multi-threaded BDI-style [RG95] agents cooperating efficiently in a foraging scenario. Using ant-style pheromone trails as the basis for a pseudo-random walk procedure, they explore the world uniformly and negotiate to allocate collection and delivery tasks. Global information is disseminated via a publish/subscribe mechanism. The system is implemented using the concurrent logic programming language Qu-Prolog.

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References

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© 2006 Springer-Verlag Berlin Heidelberg

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Coffey, S., Gaertner, D. (2006). Implementing Pheromone-Based, Negotiating Forager Agents. In: Toni, F., Torroni, P. (eds) Computational Logic in Multi-Agent Systems. CLIMA 2005. Lecture Notes in Computer Science(), vol 3900. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11750734_22

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  • DOI: https://doi.org/10.1007/11750734_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33996-0

  • Online ISBN: 978-3-540-33997-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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