TY - GEN
T1 - The multi-domain operations effect loop
T2 - Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II 2020
AU - Abdelzaher, Tarek
AU - Taliaferro, Adam
AU - Sullivan, Paul
AU - Russell, Stephen
N1 - Funding Information:
WorkreportedinthispaperdescribesacollectiveteameffortofresearchersintheIoBTCollaborativeResearchAlliance. Theauthorswould liketo thankallIoBTCRAresearchersandcollaboratorsfortheirintellectualcontributions.Without their advances, this paper would not be possible. Research reported in this paper was sponsored by the Army Research LaboratoryunderCooperativeAgreementW911NF-09-2-0053.Theviewsandconclusionscontainedinthisdocumentare those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the ArmyResearchLaboratory,NSF,ortheU.S.Government.TheU.S.Governmentisauthorizedtoreproduceanddistribute reprintsforGovernmentpurposesnotwithstandinganycopyrightnotationhereon.
Publisher Copyright:
© 2020 SPIE.
PY - 2020
Y1 - 2020
N2 - In a defense landscape driven by increasing automation, larger operation scale, higher opo, and tighter integrations across multiple domains, how do emerging advances in computing technology empower future defense concepts and operations? The paper overviews the notion of a multi-domain operations (MDO) effect loop as an organizing principle for military operations and information-driven decision processes. It then highlights recent advances in artificial intelligence, information theory, distributed sensing, and network optimization that significantly enhance the capabilities of different loop components, as illustrated by notional defense scenarios.
AB - In a defense landscape driven by increasing automation, larger operation scale, higher opo, and tighter integrations across multiple domains, how do emerging advances in computing technology empower future defense concepts and operations? The paper overviews the notion of a multi-domain operations (MDO) effect loop as an organizing principle for military operations and information-driven decision processes. It then highlights recent advances in artificial intelligence, information theory, distributed sensing, and network optimization that significantly enhance the capabilities of different loop components, as illustrated by notional defense scenarios.
UR - http://www.scopus.com/inward/record.url?scp=85089190043&partnerID=8YFLogxK
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U2 - 10.1117/12.2557967
DO - 10.1117/12.2557967
M3 - Conference contribution
AN - SCOPUS:85089190043
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II
A2 - Pham, Tien
A2 - Solomon, Latasha
A2 - Rainey, Katie
PB - SPIE
Y2 - 27 April 2020 through 8 May 2020
ER -