IDEAS home Printed from https://ideas.repec.org/p/unm/umamer/2001023.html
   My bibliography  Save this paper

Multi Agent Diagnosis: an analysis

Author

Listed:
  • Roos, Nico
  • Reije, A. ter
  • Bos, A.
  • Witteveen, C.

    (MERIT)

Abstract

The paper analyzes the use of a Multi Agent System for Model Based Diagnosis. In a large dynamical system, it is often infeasible or even impossible to maintain a model of the whole system. Instead, several incomplete models of the system have to be used to detect possible faults. These models may also be physically be distributed. A Multi Agent System of diagnostic agents may offer solutions for establishing a global diagnosis. If we use a separate agent for each incomplete model of the system, establishing a global diagnosis becomes a problem cooperation and negotiation between the diagnostic agents. This raises the question whether `a set of diagnostic agents, each having an incomplete model of the system, can (efficiently) determine the same global diagnosis as an ideal single diagnostic agent having the combined knowledge of the diagnostic agents?''

Suggested Citation

  • Roos, Nico & Reije, A. ter & Bos, A. & Witteveen, C., 2001. "Multi Agent Diagnosis: an analysis," Research Memorandum 023, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    • Handle: RePEc:unm:umamer:2001023
    as

    Download full text from publisher

    File URL: https://unu-merit.nl/publications/rmpdf/2001/rm2001-023.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Novac Ududec, Cornelia / C, 2009. "A Model for an Intelligent Support Decision System in Aquaculture," MPRA Paper 13065, University Library of Munich, Germany.

    More about this item

    Keywords

    economics of technology ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:unm:umamer:2001023. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Leonne Portz (email available below). General contact details of provider: https://edirc.repec.org/data/meritnl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.