Presentation + Paper
6 June 2022 A methodology for flattening the command and control problem space
Carmen Chiu, Adis Delanovic, Jill Platts, Alexa Loy, Andre Beckus
Author Affiliations +
Abstract
Modeling Command and Control (C2) problems is notoriously complex across operating environments, systems, and missions. We seek to systematically decompose the complexities of C2, and present the foundational problems in a form that is accessible to the larger research community. Our first objective is to “flatten” core C2 problems by formulating and developing a surrogate environment that can foster new insights and evaluation. Using this framework, the second objective is to host a public challenge to acquire a diversity of solutions from outside the DoD community.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carmen Chiu, Adis Delanovic, Jill Platts, Alexa Loy, and Andre Beckus "A methodology for flattening the command and control problem space", Proc. SPIE 12113, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, 121130T (6 June 2022); https://doi.org/10.1117/12.2615180
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KEYWORDS
Artificial intelligence

Prototyping

Algorithm development

Machine learning

Systems modeling

Visualization

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