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Forfatter: Langleite, Rune Sperstad; Opland, Eirik Anette Flynn; Johnsen, Frank T.
Publisert: 2022-12-01
Emneord: Stordata; Taktisk infrastruktur
Permalenke: http://hdl.handle.net/20.500.12242/3163
Samling: Articles
Description: International Command and Control Research and Technology Symposium (ICCRTS) proceedings 2022

2132313.pdf: Size: 370k

Sammendrag

In this paper, we discuss the need for explainable artificial intelligence (AI) in defense systems. Further, we elaborate on the need for Big Data solutions to support AI on tactical infrastructure, and discuss an architectural approach to address this need. Finally, we present our proof of concept implementation of this architecture, instantiated to support the human concepts of fast and slow thinking. The proof of concept was built using free and open source software to allow the solution to be shared, and our approach to be repeatable for others.

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dc.contributor.author	Langleite, Rune Sperstad ,Opland, Eirik Anette Flynn ,Johnsen, Frank T.
dc.date.accessioned	2023-03-08T11:54:54Z ,2023-03-22T07:27:03Z
dc.date.available	2023-03-08T11:54:54Z ,2023-03-22T07:27:03Z
dc.date.issued	2022-12-01
dc.identifier.citation	Langleite R, Opland EJ, Johnsen FT. Big Data Solutions on Tactical Infrastructure. International Command and Control Research and Technology Symposium (ICCRTS) proceedings. 2022
dc.identifier.uri	http://hdl.handle.net/20.500.12242/3163
dc.description	International Command and Control Research and Technology Symposium (ICCRTS) proceedings 2022
dc.description.abstract	In this paper, we discuss the need for explainable artificial intelligence (AI) in defense systems. Further, we elaborate on the need for Big Data solutions to support AI on tactical infrastructure, and discuss an architectural approach to address this need. Finally, we present our proof of concept implementation of this architecture, instantiated to support the human concepts of fast and slow thinking. The proof of concept was built using free and open source software to allow the solution to be shared, and our approach to be repeatable for others.
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dc.language.iso	en
dc.subject	Stordata ,Taktisk infrastruktur
dc.title	Big Data Solutions on Tactical Infrastructure
dc.type	Article
dc.date.updated	2023-03-08T11:54:54Z
dc.identifier.cristinID	2132313
dc.source.issn	2577-1604
dc.type.document	Journal article
dc.relation.journal	International Command and Control Research and Technology Symposium (ICCRTS) proceedings