"An Introduction of Adaptive Training Aid Concepts and Its Application " by John C. Gillispie

Date of Award

3-2024

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Systems Engineering and Management

First Advisor

Michael E. Miller, PhD

Abstract

Over the years, the integration of artificial intelligence (AI) to enable autonomous systems has undergone transformative shifts in the Department of Defense (DoD), revolutionizing capabilities and strategic approaches. To further optimize these advancements, varying levels of autonomy have been introduced across critical military applications, spanning intelligence, surveillance, reconnaissance (ISR), air battle management, and offensive/defensive air operations. As the technological landscape expands, so do the opportunities for autonomy to augment operations through human-agent teaming. Within the Air Force, one notably cognitively demanding role that stands to benefit from these strides is that of the Air Battle Manager (ABM). In support of the autonomy evolution, the DoD devised the Unmanned Systems Integrated Roadmap (USIR), offering comprehensive strategic guidance aligning unmanned systems with the broader DoD vision (USIR, 2017). While the USIR addresses various themes, this research zeroes in on autonomy and its enablers, emphasizing training to enhance the efficiency and effectiveness of DoD systems. Notably, this research extends the roadmap's general framework, delving into real-world implications for ABMs and how the initial training for this critical career field could be influenced.

AFIT Designator

AFIT-ENV-MS-24-M-121

Comments

A 12-month embargo was observed for posting this work on AFIT Scholar.

Distribution Statement A, Approved for Public Release. PA case number on file.

Download

Share

COinS