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International Workshop on Self-Organizing Systems

IWSOS 2008: Self-Organizing Systems pp 325–331Cite as

Web-Based Monitoring and Visualization of Self-Organizing Process Control Agents

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5343))

Abstract

This work addresses the problem of visualizing interactions between agents self-organizing in a non-codified way. This kind of behavior emerges from a human factor, which is heavily involved in the presented case of multiagent system. Tasks and intentions of users present in the system are unknown and the proposed method of analyzing and debugging temporary structures emerging in the system is the eavesdropping of the communication between the actors. A separate software service is proposed, which makes the inferred structure data accessible by an external higher scale system. An example of visualization is provided in the form of SVG-based interactive dynamic block diagram.

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Author information

Authors and Affiliations

  1. Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Grzegorz Polaków & Mieczyslaw Metzger

Authors
  1. Grzegorz Polaków
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  2. Mieczyslaw Metzger
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Editor information

Editors and Affiliations

  1. Institute of Distributed and Multimedia Systems, University of Vienna, Lenaugasse 2/8, A-1080, Vienna

    Karin Anna Hummel

  2. Coommunications and networking Systems laboratory Information Telecommunication Technology Center, Lancaster University, 145 Nichols Hall, Lawrance, 66045-7612, Kansas, USA

    James P. G. Sterbenz

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Polaków, G., Metzger, M. (2008). Web-Based Monitoring and Visualization of Self-Organizing Process Control Agents. In: Hummel, K.A., Sterbenz, J.P.G. (eds) Self-Organizing Systems. IWSOS 2008. Lecture Notes in Computer Science, vol 5343. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92157-8_33

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  • DOI: https://doi.org/10.1007/978-3-540-92157-8_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92156-1

  • Online ISBN: 978-3-540-92157-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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