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A Markov Model for Multiagent Patrolling in Continuous Time

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Neural Information Processing (ICONIP 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5864))

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Abstract

We present a model for the multiagent patrolling problem with con-tinuous-time. An anytime and online algorithm is then described and extended to asynchronous multiagent decision processes. An online algorithm is also proposed for coordinating the agents. We finally compared our approach empirically to existing methods.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Software Engineering, Laval University, Quebec, Canada

    Jean-Samuel Marier, Camille Besse & Brahim Chaib-draa

Authors
  1. Jean-Samuel Marier
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  2. Camille Besse
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  3. Brahim Chaib-draa
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, City University of Hong Kong, Hong Kong,  

    Chi Sing Leung

  2. School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, 702-701, Taegu, Korea

    Minho Lee

  3. School of Information Technology, King Mongkut’s University of Technology Thonburi, 126 Pracha-U-Thit Rd., Bangmod, Thungkru, 10140, Bangkok, Thailand

    Jonathan H. Chan

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© 2009 Springer-Verlag Berlin Heidelberg

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Marier, JS., Besse, C., Chaib-draa, B. (2009). A Markov Model for Multiagent Patrolling in Continuous Time. In: Leung, C.S., Lee, M., Chan, J.H. (eds) Neural Information Processing. ICONIP 2009. Lecture Notes in Computer Science, vol 5864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10684-2_72

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  • DOI: https://doi.org/10.1007/978-3-642-10684-2_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10682-8

  • Online ISBN: 978-3-642-10684-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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