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Intelligent Agent for Modeling and Processing Decisional Workflows in Logistics

Intelligent Agent for Modeling and Processing Decisional Workflows in Logistics

Thomas Tamisier, Fernand Feltz
Copyright: © 2011 |Volume: 2 |Issue: 4 |Pages: 9
ISSN: 1947-8585|EISSN: 1947-8593|EISBN13: 9781613506806|DOI: 10.4018/jeei.2011100104
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MLA

Tamisier, Thomas, and Fernand Feltz. "Intelligent Agent for Modeling and Processing Decisional Workflows in Logistics." IJEEI vol.2, no.4 2011: pp.49-57. http://doi.org/10.4018/jeei.2011100104

APA

Tamisier, T. & Feltz, F. (2011). Intelligent Agent for Modeling and Processing Decisional Workflows in Logistics. International Journal of E-Entrepreneurship and Innovation (IJEEI), 2(4), 49-57. http://doi.org/10.4018/jeei.2011100104

Chicago

Tamisier, Thomas, and Fernand Feltz. "Intelligent Agent for Modeling and Processing Decisional Workflows in Logistics," International Journal of E-Entrepreneurship and Innovation (IJEEI) 2, no.4: 49-57. http://doi.org/10.4018/jeei.2011100104

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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.

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