IDEAS home Printed from https://ideas.repec.org/a/igg/jeei00/v2y2011i4p49-57.html
   My bibliography  Save this article

Intelligent Agent for Modeling and Processing Decisional Workflows in Logistics

Author

Listed:
  • Thomas Tamisier

    (Centre de Rercherche Public - Gabriel Lippmann, Luxembourg)

  • Fernand Feltz

    (Centre de Rercherche Public - Gabriel Lippmann, Luxembourg)

Abstract

The authors present the design and some implementation trials of Atlas, a new reasoning and decision making assistant used for processing complex and heterogeneous procedural workflows. Benefiting from a multicore implementation, Atlas includes different solving engines that are selected according to the intrinsic complexity of the problem being processed. The operational knowledge of Atlas is accessed through 2 different views. In an analytical view, the knowledge is modeled on elementary if-then rules, which are processed by a resolution engine written in the Soar architecture. A synthetic view offers a pictorial representation of all the knowledge, and in particular, shows the inter-dependence of the rules and their procedural references. In addition to allowing an efficient processing, the system checks the coherence of the knowledge and produces a justification of the decision with respect to relevant operational procedures.

Suggested Citation

  • Thomas Tamisier & Fernand Feltz, 2011. "Intelligent Agent for Modeling and Processing Decisional Workflows in Logistics," International Journal of E-Entrepreneurship and Innovation (IJEEI), IGI Global, vol. 2(4), pages 49-57, October.
    • Handle: RePEc:igg:jeei00:v:2:y:2011:i:4:p:49-57
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jeei.2011100104
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jeei00:v:2:y:2011:i:4:p:49-57. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.