DAIS-ITA scenario

Graham White; Simon Pierson; Brian Rivera; Maroun Touma; Paul Sullivan; Dave Braines

doi:10.1117/12.2520150

10 May 2019 DAIS-ITA scenario

Graham White, Simon Pierson, Brian Rivera, Maroun Touma, Paul Sullivan, Dave Braines

Proceedings Volume 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications; 110061F (2019) https://doi.org/10.1117/12.2520150
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

Ongoing research with The International Technology Alliance in Distributed Analytics and Information Sciences (DAIS-ITA) aims to enable secure, dynamic, semantically-aware, distributed analytics for deriving situational understanding in future coalitions. This paper sets out an example military scenario and operations in a future time frame, to capture the expected battlespace context and key future challenges. Key considerations involve complex multi-actor situations, high complexity information, high tempo processing, all within human-machine hybrid-teams. The coalition composition of these teams is critical and all resources will be constrained. A phased operation is proposed across rural and urban operation involving a range of ISR sensors and autonomous devices. All these are subject to enemy action and perturbation and must be used across a highly contested and congested electromagnetic spectrum. Agile command and control is required across the coalition with information arriving from multiple sources and partners that may also be utilised for learning.

Conference Presentation

Citation Download Citation

Graham White, Simon Pierson, Brian Rivera, Maroun Touma, Paul Sullivan, and Dave Braines "DAIS-ITA scenario", Proc. SPIE 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 110061F (10 May 2019); https://doi.org/10.1117/12.2520150

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