Mission Command Analysis Using Monte Carlo Tree Search, Part II

Thumbnail Image
Files
movesinstitute-org-Mission_Command_Analysis_Using_Monte_Carlo_Tree_Search_Part_II.pdf (23.55 KB)
Authors
Buss, Arnold
Subjects
Advisors
Date of Issue
2013
Date
Start date: 2013
Publisher
Language
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.
Type
Report
Description
MOVES Institute Research Project
URI
https://hdl.handle.net/10945/51391
Series/Report No
Department
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Collections
Publications