| Szerző dc.contributor.author | Fazekas Ferenc | |
| Elérhetőség dátuma dc.date.accessioned | 2022-12-06T14:28:06Z | |
| Rendelkezésre állás dátuma dc.date.available | 2022-12-06T14:28:06Z | |
| Kiadás dc.date.issued | 2022 | |
| Issn dc.identifier.issn | 2786-0744 | |
| Issn dc.identifier.issn | 2498-5392 | |
| Uri dc.identifier.uri | http://hdl.handle.net/20.500.12944/18966 | |
| Kivonat dc.description.abstract | The military operations planning is one of the major functions of military staffs. The increasing complexity of the contemporary operating environment requires new approach to the understanding of the situation and realisation of a viable plan. The aim of this paper is to scrutinise the potential usage of future Artificial Intelligence tools in the process of military operations planning. The main question is whether Artificial Intelligence in its current state can be applied in military operations planning. To answer this question the paper provides a short overview of military operations planning, a summary of military-related Artificial Intelligence research and existing solutions, then identify criteria and field of application for future Artificial Intelligence-driven tools. Analysing the topic gives some insight into this possible way of increasing the effectiveness of the planning groups, thus contributes to finding more effective solutions for emerging complex and comprehensive problems. | |
| Kivonat dc.description.abstract | The military operations planning is one of the major functions of military staffs. The increasing complexity of the contemporary operating environment requires new approach to the understanding of the situation and realisation of a viable plan. The aim of this paper is to scrutinise the potential usage of future Artificial Intelligence tools in the process of military operations planning. The main question is whether Artificial Intelligence in its current state can be applied in military operations planning. To answer this question the paper provides a short overview of military operations planning, a summary of military-related Artificial Intelligence research and existing solutions, then identify criteria and field of application for future Artificial Intelligence-driven tools. Analysing the topic gives some insight into this possible way of increasing the effectiveness of the planning groups, thus contributes to finding more effective solutions for emerging complex and comprehensive problems. | |
| Nyelv dc.language | en | |
| Kiadó dc.publisher | Ludovika Egyetemi Kiadó | |
| Kulcsszó dc.subject | operations planning | |
| Kulcsszó dc.subject | artificial intelligence | |
| Kulcsszó dc.subject | planning tools | |
| Cím dc.title | Application of Artificial Intelligence in Military Operations Planning | |
| Típus dc.type | folyóiratcikk | |
| Változtatás dátuma dc.date.updated | 2022-12-06T08:56:01Z | |
| Változat dc.description.version | kiadói | |
| Hozzáférés dc.rights.accessRights | nyílt hozzáférésű | |
| Doi azonosító dc.identifier.doi | 10.32565/aarms.2022.2.3 | |
| Tudományág dc.subject.discipline | Műszaki tudományok | |
| Tudományterület dc.subject.sciencebranch | Műszaki tudományok/Katonai műszaki tudományok | |
| Mtmt azonosító dc.identifier.mtmt | 33289626 | |
| Folyóirat dc.identifier.journalTitle | Academic and Applied Research in Military and Public Management Science | |
| Évfolyam dc.identifier.journalVolume | 21 | |
| Füzetszám dc.identifier.journalIssueNumber | 2 | |
| Terjedelem dc.format.page | 41-54 | |
| Folyóiratcím rövidítve dc.identifier.journalAbbreviatedTitle | AARMS | |
| Kiadás helye dc.publisher.place | Budapest | |
| Szerző intézménye dc.contributor.department | Hadászati Tanszék | |
| Szerző intézménye dc.contributor.department | Hadászati Tanszék |
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