Battle Command Metric Exploration in a Simulated Combat Environment

Abstract

Battle Command, or Command and Control, is a commander's guidance of his/her forces (command) to accomplish a goal or mission while monitoring the directed movements (control). The U.S. Army Research Laboratory's (ARL) Battlespace Decision Support Team (BDST) is exploring methods of evaluating the effectiveness of a commander's course of action (COA) and resulting battle plan. Part of our research has involved the task of identifying metrics to rate a COA. Our experiment used the One Semi-Automated Forces Testbed Baseline to iterate an ARL-develop scenario more than 200 times. We captured battlefield data supportive of COA analysis. BDST personnel used data mining techniques to extract critical elements germane to our goal of identifying variables that correctly classify battle outcome. Future applications of tools and techniques developed through this and other experiments will assist commanders as they plan asymmetric campaigns on complex terrain.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2005
Accession Number
ADA432245

Entities

People

  • Barry A. Bodt
  • Eric G. Heilman
  • Janet F. O'may

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Battlefields
  • Combat Simulations
  • Command And Control
  • Data Mining
  • Data Science
  • Environment
  • Experimental Design
  • Infantry Fighting Vehicles
  • Information Science
  • Military Research
  • Monitoring
  • Peptide Growth Factors
  • Shell Scripts
  • Simulations
  • Statistical Analysis
  • Warfare

Readers

  • Distributed Systems and Data Platform Development
  • Military Science
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Fully Networked C3
  • Fully Networked C3 - Command and Control