Mission Command Analysis Using Monte Carlo Tree Search, Part II

Project Abstract

This research will produce a documented and tested methodology to apply Monte Carlo Tree Search (MCTS) methods to decisions situations in order to expand mission command oriented analysis. Mission command features decentralized execution with subordinate commanders exercising disciplined initiative while acting aggressively and independently to accomplish the mission within the commander's intent. MCTS methods will be implemented in ASC-U, a model for scheduling UAVs using Discrete Event Methodology.

U.S. Army TRADOC Analysis Center

Principal Investigator(s)
Arnold Buss

Point of Contact
Arnold Buss