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Proceedings Paper

DAIS-ITA scenario
Author(s): Graham White; Simon Pierson; Brian Rivera; Maroun Touma; Paul Sullivan; Dave Braines
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Paper 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.

Paper Details

Date Published: 10 May 2019
PDF: 20 pages
Proc. SPIE 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 110061F (10 May 2019); doi: 10.1117/12.2520150
Show Author Affiliations
Graham White, IBM United Kingdom Ltd. (United Kingdom)
Simon Pierson, DSTL (United Kingdom)
Brian Rivera, U.S. Army Research Lab. (United States)
Maroun Touma, IBM Thomas J. Watson Research Ctr. (United States)
Paul Sullivan, U.S. Army Research Lab. (United States)
Dave Braines, IBM United Kingdom Ltd. (United Kingdom)


Published in SPIE Proceedings Vol. 11006:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications
Tien Pham, Editor(s)

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