Title :
Distributed intelligent agents for logistics (DIAL)
Author :
Moore, Miranda L. ; Reyns, R. Bryan ; Kumara, S.R.T. ; Hummel, John R.
Author_Institution :
Center for Strategic Leadership, US Army War Coll., Carlisle, PA, USA
Abstract :
The distributed intelligent agents for logistics (DIAL) is an open systems architecture that allows existing models to interface and communicate in a distributed network environment. The design is based on a multi-agent framework where a customer´s problem can be decomposed and assigned to one or more (as needed) intelligent agents which together generate a logistics plan. An agent is a piece of software code that acts upon receiving information from a source (a model) and reasons using its internal knowledge. Many existing models simulate the different logistics operations; however, the models do not interact with each other and are not affected by each other´s results. Therefore, it is difficult to model and analyze the logistics process as a whole. One solution is for the models to act as nodes in a network that simulates the entire logistics process. A group of agents, or a multi-agent system, is best suited to solve such real world problems, with each agent representing a node of the graph. This paper describes a distributed intelligent agent architecture for logistics
Keywords :
computer architecture; distributed processing; knowledge based systems; logistics data processing; software agents; DIAL; distributed intelligent agent architecture; distributed network environment; logistics; logistics operations; multi-agent framework; open systems architecture; problem decomposition; Acoustical engineering; Computer architecture; Decision support systems; Educational institutions; Intelligent agent; Knowledge engineering; Logistics; Manufacturing industries; Military computing; Power system modeling;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.635373