Agent-Based Planning Team Training Platform
Final rept. Sep 2002-Mar 2003
NORTH CAROLINA AGRICULTURAL AND TECHNICAL STATE UNIV GREENSBORO DEPT OF INDUSTRIAL ENGINEERING
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With an increased emphasis on joint service operations, smaller force sizes and rapid deployment, the team paradigm within the U.S. military is moving more toward those with distributed members. Team members are often isolated from one another due to geographic or vehicular constraints, as in a command on the move situation. An undesirable outcome of this teaming arrangement is a possible reduction of team members abilities to know and understand what others are doing around them, what decisions they are making, or what information they are using. Training under these circumstances also becomes complicated since members may be geographically distributed, and bringing everyone together under the same roof simultaneously is expensive in terms of time and travel, and is particularly difficult to schedule. An intelligent agent-based platform was developed as a proposed method to assist in the training of distributed teams. Agents within the platform were designed to represent specific functions within a supply chain management team. An experiment was performed to examine the training efficacy of the agent-based platform against a traditional instructional training technique. Results indicate that an agent-based platform can be an effective training tool, but larger studies should be performed before drawing firm conclusions.
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