Modern military, emergency management and corporate organizations frequently must rapidly form task forces and or other teams to carry our their missions, but experience has shown that we can not rely on pre-existing “wiring diagrams,” or formal organizational structures to bring people together efficiently. The Adaptive Rapid Team Formation System (ARTFS) developed by Perceptronics Solutions, Inc. and the USC Computer Science Department TEAMCORE Group in a highly successful DARPA STTR Phase I project is designed to solve this problem. ARTFS is a complete, end-to-end software system that uses multiagent system technology to automatically form optimal teams from a personnel roster characterized by such variables as position and rank, experience and knowledge, as well as social and interest network connections. In Phase I we accomplished the following:
Innovative System Design and Architecture. We successfully and fully implemented our proposed system concept which for the first time integrated social network analysis and multiagent system technology to create a system that is able to (1) automatically form optimal teams both in pre-planning and ad hoc modes, (2) provide for continual team improvement, and (3) perform diagnostic analysis of team formation processes and parent organizational structure. |
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Committed ARTFS Development Partner and User. We established a very valuable connection with the Center for Asymmetric Warfare (CAW), a US Navy National Center at Pt. Mugu, CA. The CAW conducts large scale training exercises to prepare Department of Defense expeditionary forces to counter the effects of asymmetric warfare in concert with federal, state and local authorities in a Homeland Security (HLS) environment. |
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Proof-of-Concept for Complete System Functions. We performed three separate proof-of-concept studies, in which we were able to demonstrate successfully the key functionalities of the ARTFS using real data sources in a selected CAW exercise. The ARTFS combination of team mission and role modeling, social network analysis and multiagent system methodology was able to form locally optimal teams that had strong face validity in terms of the assignment of candidates to team roles within the selected constraints. |
Phase II of the ARTFS development has just begun. In it we will expand the concept and implement and test a new Collaborative Assistance and Rapid Team Optimization System (CARTOS) in collaboration with Aptima, Inc., which is performing on a separate, closely integrated Phase II DARPA STTR contract.

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