Identifying Performance Measures for AI Pilots in a Tactical Combat Mission Scenario
Developing tactically proficient and robust artificial intelligence (AI) pilots for flight simulators requires systematic performance evaluation. The purpose of this study is to identify and verify performance measures specifically tailored to AI pilots in a tactical combat mission scenario. A 2v2 air combat scenario was selected as the operational context for deriving the measures. Feedback on the appropriateness of the measures was collected through a questionnaire survey with human pilots. As a result, seven performance measures were identified as appropriate for the 2 v 2 air combat scenario. This study can provide initial grounds for assessing AI pilots in simulators and supports the development of optimal tactics and enhanced flight training programs.
Authors
- Byungho Jung
- Yang Up Kim
- Gu Moon Jeong
- Sungho Kim (ORCID: https://orcid.org/0000-0002-5401-2459)
- Jaehong Lee (ORCID: https://orcid.org/0000-0002-5056-829X)
- Seunghoon Yoo (ORCID: https://orcid.org/0000-0002-1712-1162)
- Jin Yong Lee (ORCID: https://orcid.org/0000-0002-7752-2697)
- Younggun Lee
- Kai Yang (ORCID: https://orcid.org/0000-0002-5260-571X)
- Namkyu Lim
- J.W. Kim
- Inseob Hong
Institutions
- Konkuk University (KR)
- Korea Institute of Science and Technology (KR)
- Korea Air Force Academy (KR)
Publication Details
- Published
- 2025-05-26
- DOI
- https://doi.org/10.1109/ichms65439.2025.11154331
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00