Cognifying the OODA Loop: Improved Maritime Decision Making

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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.

Author(s):
Szeligowski, Robert
Author Organization(s):
Gravely Naval Research Group, Naval War College
Funding Organization(s):
Publication Date:
2018 Feb 15
Pagination:
0

Security Markings

RECORD

Collection: TRECMS
Subject Terms
Modernization Areas:
Fully Networked C3
Communities of Interest:
C4I
Descriptor(s):
artificial intelligence, cognition, human-machine systems, command and control, machine learning, computers, naval operations, naval warfare, warfare, big data, data analysis, deep learning, doctrine, military applications, predictive analytics, biological sciences, commercial aircraft
Keyword(s):
Distributed Maritime Operations, Cognitive Computing, Observation-Orientation-Decision-Action loop
Subject Categories:
Mathematical and Computer Sciences
Update Date:
2018 Aug 17