Automated Course of Action Evaluation for Military Decision-Making
In future complex and diverse battlefield situations, the existing command system faces the challenge of delayed human judgement of strategy and low objectivity. This paper proposes an artificial intelligence model that takes situation information and course of action simulation results as input and automatically assigns scores to various evaluation elements and a comprehensive score. This tool is expected to assist the commander in making decisions, reduce the time required for making judgments, and promote impartial decision-making.
Authors
- Changho Suh (ORCID: https://orcid.org/0000-0002-3101-4291)
- Moonhyun Lee
- Byung-Joo Kim (ORCID: https://orcid.org/0000-0003-3331-4375)
- Jaewoo Baek (ORCID: https://orcid.org/0000-0003-2613-4085)
- Geewon Suh
- Minhyuk Kim
- Hyungkeun Yi
Institutions
- Korea Advanced Institute of Science and Technology (KR)
Publication Details
- Journal
- Journal of the Korea Institute of Military Science and Technology
- Published
- 2024-08-05
- DOI
- https://doi.org/10.9766/kimst.2024.27.4.437
- Primary Topic
- Semantic Web and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Defense Acquisition Program Administration