| 1 |
冯琦琦, 彭文成, 董志明, 等. 数字孪生战场、战场元宇宙与平行战场综述[C]// 第三十六届中国仿真大会, 2024: 403.
|
| 2 |
杨瑞平, 高国华, 张立勤. 计算机生成兵力[M]. 2版. 北京: 国防工业出版社, 2013.
|
| 3 |
高昂, 段莉, 张国辉, 等. 计算机生成兵力行为建模发展现状[J]. 计算机工程与应用, 2019, 55 (19): 43.
|
| 4 |
余晓晗, 袁铎, 姚昌华. 面向兵棋游戏的多层级智能体架构[J]. 指挥控制与仿真, 2025, 47 (1): 69.
doi: 10.3969/j.issn.1673-3819.2025.01.009
|
| 5 |
李秦洁. 基于深度强化学习的无人机空战决策方法研究[D]. 西安: 西安工业大学, 2025.
|
| 6 |
Shang G Z, Dong Y, Wang L, et al. Exploring and mitigating fawning hallucinations in large language models[J]. Neurocomputing, 2026, 665, 132166.
|
| 7 |
Zeng L X, Deng H Y, Shu K Y, et al. Self-speculative biased decoding for faster re-translation[EB/OL]. [2026-03-08]. https://arxiv.org/abs/2509.21740.
|
| 8 |
Qu K, Wei J Y. Research on simulation model reuse method using service-oriented encapsulation[C]// 4th International Conference on Frontiers of Electronics, Information and Computation Technologies, 2025: 118.
|
| 9 |
朱峰, 姚益平, 唐文杰, 等. 复杂系统仿真模型可重用性分析与应用[J]. 系统仿真学报, 2021, 33 (10): 2356.
|
| 10 |
唐见兵, 张琪, 焦鹏, 等. CGF行为建模校核与验证初探[J]. 系统仿真学报, 2021, 33 (2): 288.
|
| 11 |
Wilson P R, Mantooth H A. Model-based engineering for complex electronic systems[M]. Oxford: Elsevier/Newnes, 2013.
|
| 12 |
何阳. 面向计算机生成兵力的行为建模方法研究[D]. 北京: 中国电子科技集团公司电子科学研究院, 2023.
|
| 13 |
Friedenthal S, Moore A, Steiner R. A practical guide to SysML: the systems modeling language[M]. 3rd ed. Waltham: Morgan Kaufmann, 2012.
|
| 14 |
Russell S, Norvig P. Artificial intelligence: a modern approach[M]. 4th ed. Hoboken: Pearson, 2020.
|
| 15 |
Pohl K. Requirements engineering: fundamentals, principles, and techniques[M]. Berlin: Springer, 2010.
|
| 16 |
Lamsweerde A V. Requirements engineering: from system goals to UML models to software specifications[M]. New York: John Wiley & Sons, 2009.
|
| 17 |
Nuseibeh B, Easterbrook S. Requirements engineering: a roadmap[C]// Conference on the Future of Software Engineering, 2000: 35.
|
| 18 |
Balci O. Verification, validation, and accreditation[C]// Winter Simulation Conference, 1997: 135.
|
| 19 |
Sargent R G. Verification and validation of simulation models[C]// Winter Simulation Conference, 2010: 166.
|
| 20 |
王越超,刘金国. 无人系统的自主性评价方法[J].科学通报,2012,57(15):1290.
|
| 21 |
Auqui-caceres M V, Furlan A. Revitalizing double-loop learning in organizational contexts: a systematic review and research agenda[J]. European Management Review, 2023, 20 (4): 741.
|
| 22 |
Silver D, Huang A, Maddison C J, et al. Mastering the game of Go with deep neural networks and tree search[J]. Nature, 2016, 529 (7587): 484.
|
| 23 |
Vinyals O, Babuschkin I, Czarnecki W M, et al. Grandmaster level in StarCraft II using multi-agent reinforcement learning[J]. Nature, 2019, 575 (7782): 350.
|
| 24 |
刘大勇, 董志明, 郭齐胜, 等. LLM赋能的战术兵棋决策Agent构建方法[J].系统仿真学报, 2026, 38(3):758.
|
| 25 |
Cao Y J, Zhao H, Cheng Y H, et al. Survey on large language model-enhanced reinforcement learning: concept, taxonomy, and methods[EB/OL]. [2025-09-07]. https://arxiv.org/pdf/2404.00282v2.
|
| 26 |
Zhang T C, Wei Y Y, Fang H. A memory driven self-learning combat agent architecture in a 3D virtual environment[J]. Journal of Web Engineering, 2025, 24 (5): 687.
|
| 27 |
Ouyang L, Wu J, Jiang X, et al. Training language models to follow instructions with human feedback[R]. San Francisco: OpenAI, 2022.
|
| 28 |
刘大勇, 董志明, 张伟东, 等. 基于作战实验的虚拟兵力智能水平测试与评估方法研究[J].系统仿真学报, 2026, 38(4):1030.
|
| 29 |
刘大勇, 郭齐胜, 董志明, 等. AI4S驱动的战术博弈对抗仿真体系及应用框架研究[J]. 系统仿真学报, 2026, 38 (2): 387.
doi: 10.16182/j.issn1004731x.joss.24-1039
|