Agent-Based Training of Distributed Command and Control Teams

Author(s):  
Joseph Cohen ◽  
Andrew Imada



Author(s):  
Ryan McCune ◽  
Rachael Purta ◽  
Mikolaj Dobski ◽  
Artur Jaworski ◽  
Greg Madey ◽  
...  


Author(s):  
Joseph Cohen ◽  
Andrew Imada

We developed and tested a partner agent for training distributed teams on a DDD/AWACS simulation. We compared 3 conditions that were identical on test trials but differed on practice trials, which had either human partners, agent partners, or no partners (control). Each condition had 20 four-member teams who trained for about 8 hrs each. Relative to the control condition, practicing with human partners and agent partners afforded about the same substantial advantage. Comparisons with formative testing suggested that the advantage of the agent partner depended on the agent responding quickly and adaptively to trainee demands. The results extended the foundation for developing and testing agent-based training in operational settings.









2013 ◽  
Vol 347-350 ◽  
pp. 1063-1067
Author(s):  
Zao Zhang ◽  
Guang Ya Si

Radar network is a typical complex adaptive system (CAS). The command and control (C2) of radar network plays a big part in improving the quality of the acquired data and the anti-damage ability of radar network. On the basis of analyzingradar networkcombat process,a method based on Agent was proposed to establish command and control (C2) modelof radar network.The structure of the Agent was put forward and based on that, theadaptive C2 model was represented as a 6-tuple system.The simulation experimentwas made in the presumed background and the results showed that the modeling of adaptive command and control of radar network was implemented.



Sign in / Sign up

Export Citation Format

Share Document