Agent-Based Planning Team Training Platform

Abstract

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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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2003
Accession Number
ADA416200

Entities

People

  • Bala Ram
  • Daniel N. Mountjoy

Organizations

  • North Carolina Agricultural and Technical State University

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Central Processing Units
  • Computers
  • Control Systems
  • Deployment
  • Engineers
  • Information Systems
  • Intelligent Agents
  • Lessons Learned
  • Logistics
  • Military Research
  • Multiagent Systems
  • Software Agents
  • Supply Chain
  • Supply Chain Management
  • Systems Engineering

Readers

  • Economics
  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.