Enhanced tactical inferencing (ETI): a decision recommendation framework

Adrienne Raglin; John Richardson; Mark Mittrick; Somiya Metu; Justine Caylor

doi:10.1117/12.2622319

6 June 2022 Enhanced tactical inferencing (ETI): a decision recommendation framework

Adrienne Raglin, John Richardson, Mark Mittrick, Somiya Metu, Justine Caylor

Proceedings Volume 12113, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV; 121130Z (2022) https://doi.org/10.1117/12.2622319
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

The DEVCOM C5ISR (Command, Control, Computers, Communications, Cyber, Intelligence, Surveillance and Reconnaissance) Center describes an ongoing focus to provide decision makers with mission command capabilities and platforms that aid the management of resources, seamlessly integrate across the six Warfighter functions, and complement the skills and experience of the Warfighter. The challenge is to provide “the right information to the right person at the right time”, regardless of the complexities of the operation. As an extension of our research in artificial reasoning, particularly for adaptive decision making, we have designed the Enhanced Tactical Inferencing (ETI) framework. The goal of ETI can be thought of “as a recommender to a recommender” where both explicit and implicit data is used to reason over information and generate decision point and course of actions recommendations. This paper will discuss the ETI framework and a use-case to explore potential recommendations for the current implementation and future enhancements.

Conference Presentation

Citation Download Citation

Adrienne Raglin, John Richardson, Mark Mittrick, Somiya Metu, and Justine Caylor "Enhanced tactical inferencing (ETI): a decision recommendation framework", Proc. SPIE 12113, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, 121130Z (6 June 2022); https://doi.org/10.1117/12.2622319

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