Cognifying the OODA Loop: Improved Maritime Decision Making

Abstract

Challenges on the future battlefield make it imperative that the U.S. Navy adopt artificial intelligence (AI) to compress the OODA loop and augment decision making at the tactical and operational levels of war. The evolution into advanced human-machine collaboration will enable command and control (C2) for successful application of the Distributed Maritime Operations (DMO). This paper will advance Admiral Richardsons, the Chief of Naval Operations (CNO) strategy for achieving exponential growth rate of naval combat power by automating the Orient and Decide portions of the Observation-Orientation-Decision-Action (OODA) loop. Understanding the essence of decision making through the OODA loop concept and its relationship to the C2 highlights areas where human cognition is limited.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 15, 2018
Accession Number
AD1057893

Entities

People

  • Robert Szeligowski

Organizations

  • Naval War College

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Engineered Resilient Systems
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Neural Networks
  • Big Data
  • Biological Sciences
  • Cognition
  • Command And Control
  • Commercial Aircraft
  • Computers
  • Data Analysis
  • Deep Learning
  • Digital Data
  • Doctrine
  • Human-Machine Systems
  • Machine Learning
  • Military Applications
  • Naval Doctrine
  • Naval Operations
  • Naval Warfare
  • Navy
  • New York
  • Predictive Analytics
  • Situational Awareness
  • Warfare

Readers

  • Maritime Combat Support and Expeditionary Logistics.
  • Maritime and Naval Warfare Studies
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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