A methodology for flattening the command and control problem space

Carmen Chiu; Adis Delanovic; Jill Platts; Alexa Loy; Andre Beckus

doi:10.1117/12.2615180

6 June 2022 A methodology for flattening the command and control problem space

Carmen Chiu, Adis Delanovic, Jill Platts, Alexa Loy, Andre Beckus

Proceedings Volume 12113, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV; 121130T (2022) https://doi.org/10.1117/12.2615180
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

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

Citation Download Citation

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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