Vojenské Rozhledy

Czech Military Review

Vojenské rozhledy / Czech Military Review Nr. 2/2021: 39-54

Použitelnost umělé inteligence v rozhodovacím procesu pozemních silRecenzované - Přehledový

Paul Tudorache

Podobně jako v jiných oblastech, také ve vojenské oblasti se umělá inteligence stala v poslední době evidentním řešením pro optimalizaci konkrétních procesů a činností. Cílem tohoto příspěvku je upozornit na možnosti potenciálního využití umělé inteligence ve vojenských operacích prováděných pozemními silami. Hlavní zjištění založená na analýze rámce procesu operace s využitím vhodné metodologie výzkumu se týkají vlivu umělé inteligence na optimalizaci rozhodnutí velitele během procesu plánování a vedení operací. Dalším významným výsledkem této studie je představení umělé inteligence jako nástroje zvyšující bojovou sílu pozemních sil.

Klíčová slova: UI; proces operace; vojenský rozhodovací proces; aktualizace rozhodování; bojová síla

Applicability of Artificial Intelligence in Decision-Making for Land Forces

Similar to other fields, also in the military one, the Artificial Intelligence has become recently an evident solution for optimizing specific processes and activities. Therefore, this research paper aims to highlight the potential uses of Artificial Intelligence in the military operations carried out by the Land Forces. In this regard, analysing the framework of the operations process and applying suitable research methodology, the main findings are related to AI's contributions in optimizing commander's decisions during the progress of planning and execution. On the other hand, picturing the AI upgrated combat power of the Land Forces is another significant result of this study.

Keywords: AI; Operations Process; MDMP; Adjustment Decisions; Combat Power

Zveřejněno: 15. červen 2021  Zobrazit citaci

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Tudorache, P. (2021). Použitelnost umělé inteligence v rozhodovacím procesu pozemních sil. Vojenské rozhledy / Czech Military Review, 102(2), 39-54
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    Reference

    1. MORGAN, Forrest, BOUDREAUX, Benjamin, LOHN, Andrew, ASHBY, Mark, CURRIDEN, Christian, KLIMA, Kelly and GROSSMAN, Derek. Military Applications of Artificial Intelligence: Ethical Concerns in an Uncertain World. Santa Monica, California: RAND Corporation, 2020, pp. 5-6. ISBN 978-1-9774-0492-3. [cit. 2020-12-20]. Available from: bit.ly/2KMtOll.
    2. STO. Science & Technology Trends 2020-2040: Exploring the S&T Edge. Brussels: NATO Science & Technology Organization, 2020, pp. 55-56. [cit. 2020-12-20]. Available from: bit.ly/3rWz1rx.
    3. BRANCH, William. Artificial Intelligence and Operational-Level Planning: An Emergent Convergence. Kansas: Fort Leavenworth, 2018, pp. 47-48. [cit. 2021-05-19]. Available from: bit.ly/2S4DYB5.
    4. OLIVA, Lazaro. Artificial Intelligence and the Future of Operational Art. Kansas: Fort Leavenworth, 2018, p. 36. [cit. 2021-05-18]. Available from: bit.ly/3yfnAOJ.
    5. VAN LENT, Michael, CARPENTER, Paul, MCALINDEN, Ryan, TAN GUAN, Poeny. A tactical and Strategic AI Interface for Real-Time Strategy Games. California: University of Southern California, 2004. [cit. 2021-05-19]. Available from: bit.ly/3v0kgFa.
    6. SCHUBERT, Johan, BRYNIELSSON, Joel, NILSSON, Mattias, SVENMARCK, Peter. Artificial Intelligence for Decision Support in Command and Control Systems. Florida: ICCRTS, 2018. [cit. 2021-05-19]. Available from: bit.ly/2QBzv8A.
    7. USAF. The United States Air Force Artificial Intelligence Annex to the Department of Defence Artificial Intelligence Strategy [online]. 12.09.2019 [cit. 2020-12-22]. Available from: bit.ly/37HhPOB.
    8. ADP 5-0. The Operations Process. Washington, DC: Headquarters, Department of the Army, 2019, p. 1-4. PIN: 102805-000. [cit. 2020-12-22]. Available from: bit.ly/3u6R26Q.
    9. WADE, Norman. BSS5 Smart Book: The Battle Staff - Leading, Planning & Conducting Military Operations. Florida: The Lightning Press, 2015, p. 1-56. ISBN: 978-1-935886-63-1.
    10. ADP 3-90. Offense and Defence. Washington, DC: Headquarters, Department of the Army, 2019, p. 1-4. PIN: 102987-000. [cit. 2021-04-28]. Available from: bit.ly/32YfWtv.
    11. ADP 5-0. The Operations Process. Washington, DC: Headquarters, Department of the Army, 2019, p. 1-7. PIN: 102805-000. [cit. 2020-12-22]. Available from: bit.ly/3u6R26Q.
    12. OLIVA, Lazaro. Artificial Intelligence and the Future of Operational Art. Kansas: Fort Leavenworth, 2018, p. 35. [cit. 2021-05-18]. Available from: bit.ly/3yfnAOJ.
    13. Study no 24/609-5360. Studiu privind realizarea unui model al MDMP-ului adaptat la cerințele mediilor VUCA și JIIM, integrând aspectele socio-culturale și inteligența artificială (Study on Developing a Model for Adapting the MDMP to the VUCA and JIIM Requirements, Integrating Socio-Cultural Aspects and Artificial Intelligence. [cit. 2021-05-18]. Available from: bit.ly/3yhUXAx.
    14. TUDORACHE, Paul. Adaptarea structurilor militare din Forțele Terestre la cerințele acțiunii în medii VUCA și JIIM (Adapting military structures from Land Forces to the requirements of VUCA and JIIM environments). Sibiu: "Nicolae Bălcescu" Land Forces Academy Publishing House, 2020, pp. 89-91. ISBN: 978-973-153-376-6.
    15. BRANCH, William. Artificial Intelligence and Operational-Level Planning: An Emergent Convergence. Kansas: Fort Leavenworth, 2018, p. 40. [cit. 2021-05-19]. Available from: bit.ly/2S4DYB5.
    16. KOTT, Alexander, OWNBY, Michael. Tools for Real-Time Anticipation of Enemy Actions in Tactical Ground Operations. Virginia: Command and Control Research Program, 2005, p. 170. [cit. 2021-05-19]. Available from: bit.ly/3yi64cJ.

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