Artificial intelligence to assist weapon package selection for airborne weapon delivery

Kirsten McCormick; Andy Cullington; Kirstin Rouse

doi:10.1117/12.2659631

12 June 2023 Artificial intelligence to assist weapon package selection for airborne weapon delivery

Kirsten McCormick, Andy Cullington, Kirstin Rouse

Proceedings Volume 12544, Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2023; 125440P (2023) https://doi.org/10.1117/12.2659631
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

This Weapon Package Selection Innovation Initiatives Internal (I3) Project demonstrated how a chosen Artificial Intelligence (AI) technology could assist a human operator in the decision making process of selecting weapons carried by a complex mix of manned and unmanned platforms to targets, in highly dynamic scenarios. This was an innovative application of AI technology to complex decision making in a challenging new environment, where more traditional approaches may severely impact the operational effectiveness of new weapon delivery capabilities. The project developed two Machine Learning (ML) technologies, a subset of AI, for initial comparison - a Neural Network and a Random Forest. It was concluded that both AI technologies could be used to assist a human operator in the decision making process of weapon selection. The project has also provided a springboard for future research opportunities within General Dynamics Mission Systems UK (GDMS-UK).

Conference Presentation

Citation Download Citation

Kirsten McCormick, Andy Cullington, and Kirstin Rouse "Artificial intelligence to assist weapon package selection for airborne weapon delivery", Proc. SPIE 12544, Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2023, 125440P (12 June 2023); https://doi.org/10.1117/12.2659631

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available