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Cyber-Physical Multiagent-Simulation in Production Logistics

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Book cover Multiagent System Technologies (MATES 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9433))

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Abstract

A growing network of technical systems, embedded and autonomous, influence our daily work. Among them, cyber-physical systems establish a close connection between the virtual and the real world. In this paper we show how an existing multiagent system that controls the physical production of goods on a monorail is virtualized by extracting the agents as black boxes and by integrating them into a multiagent simulation system. As a result, the exact same agents run in physical and cyber world. Towards this end, the physical environment has been mapped and visualized. Experiments show that the modeling and simulation error is small, such that scenarios can be varied, tested, debugged, and scaled, saving huge amounts of labor.

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Notes

  1. 1.

    Bremer Institut für Produktion und Logistik GmbH.

  2. 2.

    http://vas.doc.ic.ac.uk/software/mcmas/

  3. 3.

    http://www.virtualbox.org

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Acknowledgement

This research was partly funded by the International Graduate School for Dynamics in Logistics, University of Bremen, Germany.

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Authors and Affiliations

  1. Institute for Artificial Intelligence, University of Bremen, Bremen, Germany

    Christoph Greulich, Stefan Edelkamp & Niels Eicke

Authors
  1. Christoph Greulich
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  2. Stefan Edelkamp
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  3. Niels Eicke
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Corresponding author

Correspondence to Christoph Greulich .

Editor information

Editors and Affiliations

  1. Technische Universität Clausthal, Clausthal-Zellerfeld, Germany

    Jörg P. Müller

  2. Erasmus University Rotterdam, Rotterdam, The Netherlands

    Wolf Ketter

  3. Bar Ilan University, Ramat Gan, Israel

    Gal Kaminka

  4. Brandenburg University of Technology, Cottbus, Germany

    Gerd Wagner

  5. Delft University of Technology, Delft, The Netherlands

    Nils Bulling

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Greulich, C., Edelkamp, S., Eicke, N. (2015). Cyber-Physical Multiagent-Simulation in Production Logistics. In: Müller, J., Ketter, W., Kaminka, G., Wagner, G., Bulling, N. (eds) Multiagent System Technologies . MATES 2015. Lecture Notes in Computer Science(), vol 9433. Springer, Cham. https://doi.org/10.1007/978-3-319-27343-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-27343-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27342-6

  • Online ISBN: 978-3-319-27343-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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