Effective Decision-Making Employing Human-Machine Teaming
Abstract
Commanders can make faster, better-informed operational-level decisions by integrating artificial intelligence with their intuition and experience. This paper examines how operational commanders rely on their subordinate commanders and robust staff to collect and analyze information to provide recommendations to aid command decision-making. If inadequate information or uncertainty is present, the commander relies on their intuition and experience to fill the gaps. Each variable in the current decision-making process has limitations in which AI technologies of big data analytics, machine learning, and neural networks aid commanders in decision-making. The paper introduces a Commander-AI Decision-Making Model (CAIDMM) synthesized within Col Boyd's Observe, Orient, Decide, and Act (OODA) loop to gain a marked advantage over an adversary. Lastly, this paper examines the so what and why operational commanders must use CAIDMM to gain a strategic advantage against near-peer competitors in today's great power competition.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 03, 2022
- Accession Number
- AD1178319
Entities
People
- Michael Menna
Organizations
- Naval War College